[DL] Call for papers: Special Issue on Language Technology and Knowledge Graphs

[Marieke van Erp]

Special Issue on Language Technology and Knowledge Graphs

Submission deadline: 30 September 2019


Call for Papers

Language understanding and knowledge engineering are among the most active research and development areas due to the proliferation of big data. This special issue on Language Technology and Knowledge Graphs is devoted to gather and present innovative research, systems and applications that address the challenges in the broad areas of language and knowledge intelligence, presenting a platform for researchers to share their recent observations and achievements in the field. Special topics for this special issue include but are not limited to:

1. Textual Entailment and Knowledge
  * Textual entailment
  * Fact checking
  * Fake news detection
  * Argumentation mining

2. Knowledge-Guided NLP
  * Question answering and reading comprehension
  * Dialogue systems
  * Information Retrieval
  * Multilinguality
  * Recommender systems
  * Machine Translation
  * Knowledge-Guided Deep Learning
  * Complex knowledge-driven Information Extraction tasks e.g., relation extraction, event extraction
  * Methods and metrics for evaluation of semantic annotations with respect to ontologies
  * Knowledge-driven entity disambiguation and resolution


3. Contextual Knowledge Graphs and Language Technology
  * Extracting and modelling temporally bounded information
  * Dealing with culturally-aware information
  * Handling domain specificity of information

4. Information Extraction for Knowledge Graphs
  * Extraction from unstructured versus semi-structured textual sources (e.g. tables)
  * Dealing with the imperfections of Information Extraction techniques in the Semantic Web setting and their impact
  * Multi-source or multilingual Information Extraction for ontology population
  * Information extraction subtasks (e.g., terminology extraction, relation extraction, coreference resolution) for the Semantic Web
  * Methods and metrics for evaluation of Information Extraction for the Semantic Web

5. Applications and Architectures
  * Knowledge-based Information Extraction for specific domains and applications, e.g. business analytics, healthcare and biomedicine, cultural heritage etc.
  * Information Extraction for social media mining
  * Scalability of tools and resources
  * Platforms and architectures for automatic and semi-automatic semantic annotation
  * Tools and methodologies for building and managing complex processing workflows


Types of papers

Research papers describing well-identified scientific contributions which are thoroughly evaluated. Those papers are typically 15-20 pages long.
System and Resource papers that focus on the description of systems or resources relevant to this special issue where the authors fully detail the design, construction, implementation and usage as well as demonstrate its usefulness. Those papers are expected to be 8-10 pages long. Please select VSI: LT&KGs in the submission system.

More information and submission: https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/language-technology-and-knowledge-graphs

For questions contact: marieke.van.erp at dh.huc.knaw.nl<mailto:marieke.van.erp at dh.huc.knaw.nl>


Important Dates
  * Submission deadline: 30 September 2019
  * Author notification: 17 November 2019
  * Publication: Q1 2020


Guest Editors
  * Marieke van Erp, KNAW Humanities Cluster, DHLab, the Netherlands
  * Jeff Z. Pan, University of Aberdeen, UK
  * Zhiyuan Liu, Tsinghua University, China






--
Digital Humanities Lab / dhlab.nl<http://dhlab.nl>
KNAW Humanities Cluster / huc.knaw.nl<http://huc.knaw.nl>

http://www.mariekevanerp.com

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