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<p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt" id="m_-8111626474315621361m_-1166330184054622281gmail-docs-internal-guid-c4e1312c-7fff-da7b-5fe9-43e7d767a08b"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">*** Apologies for cross-posting *** </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ CALL FOR PAPERS ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">****************************************************************************</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Held in conjunction with the 45th European Conference on Information Retrieval (ECIR'23) </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">April 2nd, 2023 - Dublin, Ireland </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Website: </span><a href="https://text2story23.inesctec.pt/" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,255);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://text2story23.inesctec.pt</span></a></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">****************************************************************************</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Important Dates ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> - Submission deadline: January 23rd, 2023 </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> - Acceptance Notification Date: March 3rd, 2023 </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> - Camera-ready copies: March 17th, 2023 </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> - Workshop: April 2nd, 2023 </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Overview ++ </span></p><p dir="ltr" style="line-height:1.295;text-align:justify;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Recent years have shown a stream of continuously evolving information making it unmanageable and time-consuming for an interested reader to track and process and to keep up with all the essential information and the various aspects of a story. Automated narrative extraction from text offers a compelling approach to this problem. It involves identifying the sub-set of interconnected raw documents, extracting the critical narrative story elements, and representing them in an adequate final form (e.g., timelines) that conveys the key points of the story in an easy-to-understand format. Although, information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of automated identification and analysis of the different elements of a narrative present in a document (set) still presents significant unsolved challenges</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ List of Topics ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">In the sixth edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: </span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Narrative Representation Models</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Story Evolution and Shift Detection</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Temporal Relation Identification</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Temporal Reasoning and Ordering of Events</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Causal Relation Extraction and Arrangement</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Narrative Summarization</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Multi-modal Summarization</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Automatic Timeline Generation</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Storyline Visualization</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Comprehension of Generated Narratives and Timelines</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Big Data Applied to Narrative Extraction</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Personalization and Recommendation of Narratives</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> User Profiling and User Behavior Modeling</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Sentiment and Opinion Detection in Texts</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Argumentation Analysis</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Bias Detection and Removal in Generated Stories</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Ethical and Fair Narrative Generation</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Misinformation and Fact Checking</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Bots Influence</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Narrative-focused Search in Text Collections</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Event and Entity importance Estimation in Narratives</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Multilinguality: Multilingual and Cross-lingual Narrative Analysis</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Evaluation Methodologies for Narrative Extraction</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Resources and Dataset Showcase</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Dataset Annotation for Narrative Generation/Analysis</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Applications in Social Media (e.g. narrative generation during a natural disaster)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Language Models and Transfer Learning in Narrative Analysis</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Narrative Analysis in Low-resource Languages</span></p></li></ul><br><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Dataset ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at </span><a href="https://github.com/LIAAD/tls-covid19" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(5,99,193);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://github.com/LIAAD/tls-covid19</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">. The article itself is available at this link: </span><a href="https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(5,99,193);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(5,99,193);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Submission Guidelines ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> We invite two kinds of submissions: </span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Full papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> (up to 7 pages + references): Original and high-quality unpublished contributions on the theory and practical aspects of the narrative extraction task. </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Full-papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> should introduce existing approaches, describe the methodology and the experiments conducted in detail. </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Negative result papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> to highlight tested hypotheses that did not get the expected outcome are also welcomed.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt" role="presentation"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Work in progress</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">demos</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> and </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">dissemination papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> (up to 4 pages + references): unpublished short papers describing </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">work in progress; demo and resource papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> presenting research/industrial prototypes, datasets or software packages; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">dissemination papers</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue.</span></p></li></ul><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights.</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Workshop Format ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Participants of accepted papers will be given 15 minutes for oral presentations. </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Invited Speakers ++</span></p><h3 dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:2pt;margin-bottom:0pt"><span style="font-size:14pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Structured Summarisation of News at Scale</span></h3><h4 dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:2pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Speaker: </span><a href="https://people.ucd.ie/georgiana.ifrim" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Georgiana Ifrim</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, University College Dublin, Ireland </span></h4><br><p dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Abstract: </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Facilitating news consumption at scale is still quite challenging. Some research effort focused on coming up with useful structures for facilitating news navigation for humans, but benchmarks and objective evaluation of such structures is not common. One area that has progressed recently is news timeline summarisation. In this talk, we present some of our work on long-range large-scale news timeline summarisation. Timelines present the most important events of a topic linearly in chronological order and are commonly used by news editors to organise long-ranging topics for news consumers. Tools for automatic timeline summarisation can address the cost of manual effort and the infeasibility of manually covering many topics, over long time periods and massive news corpora. In this talk, we first compare different high-level approaches to timeline summarisation, identify the modules and features important for this task, and present new state-of-the-art results with a simple new method. We provide several examples of automatic timelines and present both a quantitative and qualitative analysis of these structured news summaries. Most of our tools and datasets are available online on </span><a href="https://github.com/complementizer/news-tls" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">github</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">. </span></p><p dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Bio: </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, UCD, co-lead of the SFI Centre for Research Training in Machine Learning (ML-Labs) and SFI Funded Investigator with the Insight Centre for Data Analytics and VistaMilk SFI Centre. Dr. Ifrim holds a PhD and MSc in Machine Learning, from Max-Planck Institute for Informatics, Germany, and a BSc in Computer Science, from University of Bucharest, Romania. Her research focuses on effective approaches for large-scale sequence learning, time series classification, and text mining. She has published more than 50 peer-reviewed articles in top-ranked international journals and conferences and regularly holds senior positions in the program committees for IJCAI, AAAI, and ECML-PKDD, as well as being a member of the editorial board of the Machine Learning Journal, Springer. </span></p><br><h3 dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:2pt;margin-bottom:0pt"><span style="font-size:14pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Creating and Visualising Semantic Story Maps</span></h3><h4 dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:2pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Speaker: </span><a href="https://scholar.google.it/citations?user=EnxyxO0AAAAJ&hl=en" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Valentina Bartalesi</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, CNR-ISTI, Italy </span></h4><br><p dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Abstract: </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">A narrative is a conceptual basis of collective human understanding. Humans use stories to represent characters' intentions, feelings and the attributes of objects, and events. A widely-held thesis in psychology to justify the centrality of narrative in human life is that humans make sense of reality by structuring events into narratives. Therefore, narratives are central to human activity in cultural, scientific, and social areas. Story maps are computer science realizations of narratives based on maps. They are online interactive maps enriched with text, pictures, videos, and other multimedia information, whose aim is to tell a story over a territory. This talk presents a semi-automatic workflow that, using a CRM-based ontology and the Semantic Web technologies, produces semantic narratives in the form of story maps (and timelines as an alternative representation) from textual documents. An expert user first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract entities and geospatial points of interest associated with the territory, (ii) assemble a logically-ordered sequence of events that constitute the narrative, enriched with entities and images, and (iii) openly publish online semantic story maps and an interoperable Linked Open Data-compliant knowledge base for event exploration and inter-story correlation analyses. Once the story maps are published, the users can review them through a user-friendly web tool. Overall, our workflow complies with Open Science directives of open publication and multi-discipline support and is appropriate to convey "information going beyond the map" to scientists and the large public. As demonstrations, the talk will show workflow-produced story maps to represent (i) 23 European rural areas across 16 countries, their value chains and territories, (ii) a Medieval journey, (iii) the history of the legends, biological investigations, and AI-based modelling for habitat discovery of the giant squid Architeuthis dux. </span></p><p dir="ltr" style="line-height:1.295;text-indent:36pt;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Bio: </span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Valentina Bartalesi Lenzi is a researcher at the CNR-ISTI and external professor of Semantic Web in the Computer Science master's degree course at the University of Pisa. She earned her PhD in Information Engineering from the University of Pisa and graduated in Digital Humanities from the University of Pisa. Her research fields mainly concern Knowledge Representation, Semantic Web technologies, and the development of formal ontologies for representing textual content and narratives. She has participated in several European and National research projects, including MINGEI, PARTHENOS, E-RIHS PP, IMAGO. She is the author of over 50 peer-reviewed articles in national and international conferences and scientific journals. </span></p><br><br><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Organizing committee ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Alípio M. Jorge (INESC TEC; University of Porto, Portugal)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Adam Jatowt (University of Innsbruck, Austria)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Sumit Bhatia (Media and Data Science Research Lab, Adobe)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Marina Litvak (Shamoon Academic College of Engineering, Israel)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Proceedings Chair ++</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> João Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Conceição Rocha (INESC TEC) </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Web and Dissemination Chair ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Hugo Sousa (INESC TEC & University of Porto) </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Behrooz Mansouri (University of Southern Maine) </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Program Committee ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Álvaro Figueira (INESC TEC & University of Porto)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Andreas Spitz (University of Konstanz)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Antoine Doucet (Université de La Rochelle)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> António Horta Branco (University of Lisbon)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Arian Pasquali (CitizenLab)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Bart Gajderowicz (University of Toronto)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Begoña Altuna (Universidad del País Vasco)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Brenda Santana (Federal University of Rio Grande do Sul)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Bruno Martins (IST & INESC-ID, University of Lisbon)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Daniel Loureiro (Cardiff University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Dennis Aumiller (Heidelberg University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Dhruv Gupta (Norwegian University of Science and Technology)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Dyaa Albakour (Signal UK)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Evelin Amorim (INESC TEC)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Henrique Cardoso (INESC TEC & University of Porto)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Ismail Altingovde (Middle East Technical University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> João Paulo Cordeiro (INESC TEC & University of Beira Interior)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Kiran Bandeli (Walmart Inc.)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Luca Cagliero (Politecnico di Torino)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Ludovic Moncla (INSA Lyon)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Marc Finlayson (Florida International University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Marc Spaniol (Université de Caen Normandie)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Moreno La Quatra (Politecnico di Torino)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Nuno Guimarães (INESC TEC & University of Porto)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Pablo Gamallo (University of Santiago de Compostela)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Pablo Gervás (Universidad Complutense de Madrid)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Paulo Quaresma (Universidade de Évora)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Paul Rayson (Lancaster University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Raghav Jain (Indian Institute of Technology, Patna)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Ross Purves (University of Zurich)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Satya Almasian (Heidelberg University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Sérgio Nunes (INESC TEC & University of Porto)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Simra Shahid (Adobe's Media and Data Science Research Lab)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Sriharsh Bhyravajjula (University of Washington)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Udo Kruschwitz (University of Regensburg)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Veysel Kocaman (John Snow Labs & Leiden University)</span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">++ Contacts ++ </span></p><p dir="ltr" style="line-height:1.295;margin-top:0pt;margin-bottom:8pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> Website: </span><a href="https://text2story23.inesctec.pt/" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(5,99,193);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://text2story23.inesctec.pt</span></a><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></p><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> For general inquiries regarding the workshop, reach the organizers at: </span><a href="mailto:text2story2023@easychair.org" style="text-decoration:none" target="_blank"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(5,99,193);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">text2story2023@easychair.org</span></a>
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