*13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)* Home: https://sites.google.com/view/starsem2024

*Co-located with NAACL 2024* https://2024.naacl.org/ Mexico City, Mexico June 16–21, 2024

* Important Dates* Direct submission deadline: extended to * Feb 29, 2024 * Date of notification: Apr 22, 2024 Camera ready deadline: May 5, 2024 *SEM workshop: Jun 20-21, 2024 Submission link: https://openreview.net/group?id=aclweb.org/StarSEM/2024/Conference

*Invited Speakers* Dr. Greg Durrett (The University of Texas at Austin) https://www.cs.utexas.edu/~gdurrett/# Prof. Heng Ji (University of Illinois Urbana-Champaign) https://cs.illinois.edu/about/people/faculty/hengji

*SEM brings together researchers interested in the semantics of (many and diverse!) natural languages and its computational modeling. The conference embraces data-driven, neural, and probabilistic approaches, as well as symbolic approaches and everything in between; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a stable forum for the growing number of NLP researchers working on all aspects of semantics of (many and diverse!) natural languages.

*Topics of Interest* * Lexical semantics and word representations * Compositional semantics and sentence representations * Statistical, machine learning, and deep learning methods in semantic tasks * Multilingual and cross-lingual semantics * Word sense disambiguation and induction * Semantic parsing, and syntax-semantics interface * Frame semantics and semantic role labeling * Textual inference, textual entailment, and question answering * Formal approaches to semantics * Extraction of events and of causal and temporal relations * Entity linking, pronouns and coreference * Discourse, pragmatics, and dialogue * Machine reading * Extra-propositional aspects of meaning * Multiword and idiomatic expressions * Metaphor, irony, and humor * Knowledge mining and acquisition * Common sense reasoning * Language generation * Semantics in NLP applications: sentiment analysis, abusive language detection, summarization, fact-checking, etc. * Multidisciplinary research on semantics * Grounding and multimodal semantics * Psycholinguistcs * Interpretability and Explainability * Human semantic processing * Semantic annotation, evaluation, and resources * Ethical aspects and bias in semantic representations