*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
Psycholinguistics
Interpretability and Explainability
Human semantic processing
Semantic annotation, evaluation, and resources
Ethical aspects and bias in semantic representations
We encourage authors to think about the ethical aspects of their work, and to address and discuss all ethical questions and implications relevant to their research. STARSEM values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here.
Submission Instructions
Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Please note that double submission of papers will need to be notified at submission.
Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions.
Submissions should follow the ARR formatting requirements. The deadline for direct submissions is Feb 22, 2024, and these submissions will be reviewed by the *SEM-2024 program committee. ACL Rolling Review (ARR) submissions can be committed to *SEM up to March 22, 2024 (authors of ARR-reviewed papers need to include their OpenReview link with reviews in the submission form). Both types of submissions are through OpenReview. Limitations and Ethics Statement sections are allowed and encouraged, but they are not mandatory. They should be placed after the conclusion and they will not count towards the overall page limit.). In *SEM there is no special policy against multiple submissions, but this should be notified to the Program Chairs.
Submission link: https://openreview.net/group?id=aclweb.org/StarSEM/2024/Conference
Important Dates
Notification of acceptance Apr 22, 2024
Camera-ready deadline May 5, 2024
Conference date Jun 20-21, 2024
Anonymity period
*SEM 2024 will follow the new anonymity policy adopted by ACL and described here. In short, papers can be published in arxiv or other preprint servers, but extensive promotion while in the review process is discouraged.