*SEM 2020 : Joint Conference on Lexical and Computational Semantics

*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. 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.

Topics of interest include, but are not limited to:

Lexical semantics and word representations
Compositional semantics and sentence representations
Statistical, machine learning and deep learning methods for semantics
Multilingual and cross-lingual semantics
Word sense disambiguation and induction
Semantic parsing; syntax-semantics interface
Frame semantics and semantic role labeling
Textual inference, entailment and question answering
Formal approaches to semantics
Extraction of events and 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
Human semantic processing
Semantic annotation, evaluation, and resources
Ethical aspects and bias in semantic representations