August 3-4 2017, Vancouver, Canada
Co-located with ACL 2017

Due to this year's extremely tight conference schedule and the overlap of several conference and workshop deadlines, the deadline for submission to *SEM has been extended to April 17th.

We are pleased to announce that SIGLEX and SIGSEM, special interest groups of the ACL, are organizing the 6th Joint Conference on Lexical and Computational Semantics: *SEM (pronounced "starsem"). This time *SEM will be co-located with ACL 2017 in Vancouver (Canada), and it will take place August 3-4, 2017.

*SEM brings together researchers interested in the semantics of natural languages and its computational modeling. The conference embraces symbolic and probabilistic approaches, and everything in between; theoretical contributions as well as practical applications are welcome in the form of long and short papers. 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.

This year, the *SEM special theme is Representations of Meaning. See more details in the Call for Papers.

Other topics of interest include, but are not limited to:

  • Formal approaches to semantics.

  • Lexical semantics.

  • Distributional semantics; data-driven semantics; mathematical methods for semantics.

  • Semantic parsing and interpretation; syntax-semantics interface.

  • Textual inference; entailment and question answering.

  • Frames and semantic role labeling.

  • Semantic ambiguity and underspecification; word sense disambiguation and induction.

  • Semantic annotation and evaluation.

  • Temporal entities and relations; extraction of events and causal and temporal relations

  • Entity linking; pronouns and coreference; single- and cross-document coreference

  • Discourse semantics; discourse structure and presupposition; extra-propositional aspects of meaning; dialogue; semantics-pragmatics interface.

  • Metaphor, irony, and figurative meaning; rhetorical relations.

  • Multiword and idiomatic expressions.

  • Generation and summarization.

  • Knowledge mining and acquisition; semantic web and ontologies; ontology learning and population.

  • Semantics in applications; semantics for social media; sentiment analysis.

  • Grounding; semantics in multimodal approaches.

  • Machine reading.