[DL] [CFP] Knowledge and Language Processing Track @ 39th ACM SAC 2024 - DEADLINE Sept. 29th
klp
klp at fbk.eu
Thu Sep 14 10:19:55 CEST 2023
==== Knowledge and Language Processing Track @ The 39th ACM Symposium on
Applied Computing - ACM SAC 2024 - Call for Paper ====
Knowledge and Language Processing Track website: http://klp.fbk.eu
ACM SAC 2024 website: http://www.sigapp.org/sac/sac2024/
Dates: April 8-12, 2024
Venue: Avila, Spain
*** Aim & Scope ***
Aim of the Knowledge and Language Processing (KLP) track at ACM SAC is to
investigate techniques and application of knowledge engineering and natural
language processing, focusing in particular on approaches combining them.
This is an extremely interdisciplinary emerging research area, at the core
of Artificial Intelligence, combining and complementing the scientific
results from Natural Language Processing and Knowledge Representation and
Reasoning.
Topics of interest include, but are not limited to:
- Natural Language Processing
--- Large Language Models Foundation
--- NLP tasks for Knowledge Extraction
--- NLP for Implicit Knowledge
--- NLP for Ontology Population and Learning
--- Sentiment Analysis and Opinion Mining for Knowledge Applications
--- Interplay between Language Resources and Ontologies
--- NLP for Explainable Knowledge
--- NL Generation from Structured Information and Linked Data
--- Machine Translation techniques for Multi-lingual Knowledge
--- NLP for the Web
- Knowledge
--- Knowledge injection into Large Language Models
--- Knowledge extraction
--- Knowledge to improve NLP tasks
--- Knowledge for Information Retrieval
--- Knowledge-based Sentiment Analysis and Opinion Mining
--- Ontologies for Language
--- Combining Knowledge and Deep Learning for NLP
--- Knowledge for Text Summarization and Generation
--- Knowledge for Persuasion
--- Knowledge-based Machine Translation
--- Knowledge for the Web
--- Linked Data for NLP
--- Knowledge-based NL Explainability
- Applications
--- Real-world applications that exploit Knowledge and NLP
--- Knowledge and NLP Systems for Big Data scenarios
--- Knowledge and NLP Systems to foster inclusion and accessibility
--- Deployment of Knowledge and NLP Systems in specific domains. For
example:
--- Digital Humanities and Social Sciences
--- eGovernment and public administration
--- Life sciences, health and medicine
--- News and Data Streams
*** Paper Submission ***
Research papers and experience reports related to the above topics are
solicited. Submissions must not have been published or be concurrently
considered for publication elsewhere. Papers should be submitted in PDF
using the ACM-SAC proceedings format using the submission link on the SAC
2024 website (https://www.sigapp.org/sac/sac2024/). Authors' names and
affiliations should be entered separately at the submission site and not
appear in the submitted papers. Each submission will be reviewed in a
DOUBLE-BLIND process according to the ACM-SAC Regulations. Student Research
Competition (SRC) submissions are welcome (see SAC 2024 website for
details).
Full papers are limited to 8 pages, in camera-ready format, included in the
registration fee. Authors have the option to include up to two (2) extra
pages (paying an extra charge). Posters are limited to 3 pages, in
camera-ready format, included in the registration fee. Authors have the
option to include only one (1) extra page (paying an extra charge). SRC
Abstracts are limited to 4 pages, in camera-ready format, included in the
registration fee. No extra pages allowed.
Paper selection is based on the originality, technical contribution,
presentation quality, and relevance to the Knowledge and Natural Language
Processing Track. Some papers may be accepted as posters.
Paper registration is required, allowing the inclusion of the paper/poster
in the conference proceedings. An author or a proxy attending SAC MUST
present the paper. This is a requirement for the paper/poster to be
included in the ACM digital library. No-show of registered papers and
posters will result in excluding them from the ACM digital library.
*** Submission sites: ***
(for regular papers) https://sigapp.org/sac/sac2024/submission.php
(for SRC papers) https://sigapp.org/sac/sac2024/submission_src.php
*** Important Dates ***
September 29, 2023: Regular Paper & SRC Abstract Submission Due
October 30, 2023: Author Notification
November 30, 2023: Camera-ready copies of accepted papers/SRC and
Registration Due
*** Track CoChairs ***
Mauro Dragoni, Fondazione Bruno Kessler (FBK), Trento, Italy
Marco Rospocher, University of Verona, Italy
*** Programme Committee ***
Itziar Aldabe
Toshiyuki Amagasa
Valerio Basile
Marco Bombieri
Davide Buscaldi
Luca Cagliero
Antonella Carbonaro
Francesco Corcoglioniti
Stamatia Dasiopoulou
Danilo Dessi
Luigi Di Caro
Haytham Elghazel
Imtiez Fliss
Flavius Frasincar
Simona Frenda
Francesca Frontini
Adrian Groza
Filip Ilievski
Katerina Katsarou
Fahad Khan
Vivek Kumar
Fréjus A. A. Laleye
Jungho Lee
Elisa Leonardelli
Henrique Lopes Cardoso
Jorge Melegati
Debora Nozza
Bahadorreza Ofoghi
Daniele Riboni
Giuseppe Rizzo
Robert Ross
Paolo Rosso
Marco Antonio Stranisci
Seba Susan
Marieke van Erp
Amal Zouaq
*** General Inquiries ***
For further information, please visit SAC Knowledge and Natural Language
Processing Track (http://klp.fbk.eu) and SAC 2024 conference websites (
https://www.sigapp.org/sac/sac2024/) or feel free to contact the Track
Co-Chairs at klp at fbk.eu.
--
--
Le informazioni contenute nella presente comunicazione sono di natura
privata e come tali sono da considerarsi riservate ed indirizzate
esclusivamente ai destinatari indicati e per le finalità strettamente
legate al relativo contenuto. Se avete ricevuto questo messaggio per
errore, vi preghiamo di eliminarlo e di inviare una comunicazione
all’indirizzo e-mail del mittente.
--
The information transmitted is
intended only for the person or entity to which it is addressed and may
contain confidential and/or privileged material. If you received this in
error, please contact the sender and delete the material.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20230914/5bbfd9da/attachment-0001.htm>
More information about the dl
mailing list