Special Session
Special Session on
Natural Language Processing in Artificial Intelligence -
NLPinAI
2023
22 - 24 February, 2023 - Lisbon, Portugal
Within the 15th International Conference on Agents and Artificial Intelligence - ICAART 2023
* CANCELLED *
CHAIR
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Roussanka Loukanova
Institute of Mathematics and Informatics, Bulgarian Academy of Sciences
Bulgaria
http://www.math.bas.bg/logic/loukanovarp/
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Brief Bio
Roussanka Loukanova is currently a Associated Researcher at Stockholm University, Sweden, and Institute of Mathematics and Informatics,
Bulgarian Academy of Sciences, Bulgaria. The focus of her research is on subjects such as: type theoretic approaches to information and information processing; type-theory of algorithms; type-theory of situated information; computerised processing of formal and natural languages; type-theoretic grammars; Constraint Based Lexicalized Grammar (CBLG) of natural language; computational syntax, semantics, and syntax-semantics interfaces in formal and natural languages. Her work targets new approaches to NLP in AI and new mathematical foundations of AI.
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SCOPE
Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Furthermore, agents (humans or computational systems) are information conveyors, interpreters, or participate as components of informational content. Generally, language processing depends on agents' knowledge, reasoning, perspectives, and interactions.
The session covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Its goal is to promote computational systems of intelligent natural language processing and related models of information, thought, mental states, cognition, knowledge, reasoning, and argumentation.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Type Theories for Applications to Language and Information Processing
- Computational Grammar
- Computational Syntax
- Computational Semantics of Natural Languages
- Computational Syntax-Semantics Interface
- Interfaces between Morphology, Lexicon, Syntax, Semantics, Speech, Text, Pragmatics
- Parsing
- Multilingual Processing
- Large-Scale Grammars of Natural Languages
- Models of Computation and Algorithms for Natural Language Processing
- Computational Models of Partiality, Underspecification, and Context-Dependency
- Models of Situations, Contexts, and Agents, for Applications to Language Processing
- Information about Space and Time in Language Models and Processing
- Models of Computation and Algorithms for Linguistics
- Data Science in Language Processing
- Statistical and Probabilistic Approaches to Computational Linguistics and Information
- Machine Learning of Language
- Information Extraction or Expression in Written and Spoken Language
- Logic for Information Content in Natural Language
- Computational Methods for Inferences in Natural Language
- Computational Theories and Systems of Reasoning in Natural Language
- NLP Domain Specific Areas, e.g., in Medicine, Healthcare, Law, Mathematics
- Controlled Natural Language
- Linguistic Analysis of Natural Language Specialized for Proofs and Texts in Mathematics
- Transfer of Reasoning Between Natural Language, Theorem Provers, Model Checkers, and Various Computational Assistants
- Interdisciplinary Methods
- Integration of formal, Computational, Model Theoretic, Graphical, Diagrammatic, Statistical, and other Related Methods
- Language Processing Based on Biological Fundamentals of Information and Languages
- Computational Neuroscience of Language
IMPORTANT DATES
Paper Submission:
December 21, 2022 (expired)
Authors Notification:
January 10, 2023 (expired)
Camera Ready and Registration:
January 18, 2023 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Arnab Bhattacharya,
Indian Institute of Technology Kanpur, India
Wojciech Buszkowski,
Adam Mickiewicz University in Poznan, Poland
Mario G. C. A. Cimino,
University of Pisa, Italy
Deepa Gupta,
Amrita University, India
Lars Hellan,
Norwegian University of Science and Technology, Norway
M. D. Jiménez-López,
Universitat Rovira i Virgili, Spain
Farhad Oroumchian,
University of Wollongong in Dubai, United Arab Emirates
Gerald Penn,
University of Toronto, Canada
(list not yet complete)
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science/Conference Proceedings Citation Index.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library
Post-conference books NLPinAI 2020 and NLPinAI 2021 published by SCI book series of Springer:
Roussanka Loukanova (Editor). Natural Language Processing in Artificial Intelligence - NLPinAI 2021. Book series Studies in Computational Intelligence book series (SCI), Volume 999. Publisher: Springer, Cham. Hardcover ISBN 978-3-030-90137-0.
Softcover ISBN 978-3-030-90140-0. eBook ISBN 978-3-030-90138-7.
DOI:
https://doi.org/10.1007/978-3-030-90138-7
Roussanka Loukanova (Editor). Natural Language Processing in Artificial Intelligence - NLPinAI 2020. Book series Studies in Computational Intelligence book series (SCI), Volume 939. Publisher: Springer, Cham. Hardcover ISBN 978-3-030-63786-6. Softcover ISBN 978-3- 030-63789-7. eBook ISBN 978-3-030-63787-3. DOI:
https://doi.org/10.1007/978-3-030-63787-3