Challenge: This tutorial aims to provide information about semantics and pragmatics, as understood in linguistics, in a way that’s accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.
Approach: This tutorial presents a selection of useful information about semantics and pragmatics, as understood in linguistics.
Outcome: The aim of the tutorial is to present useful information about semantics and pragmatics, as understood in linguistics, in a way that’s accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistry.

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Challenge: a recent paper examines the relationship between semantics and pragmatics in language.
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Challenge: linguistics studies how context influences meaning of language and how people use it to convey implied meanings, emotions, and intentions.
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Challenge: linguistic variation allows for the expression of social meaning, information about the social background and identity of the language user.
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Beyond Multiword Expressions: Processing Idioms and Metaphors (P18-5)

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Challenge: idioms and metaphors processing is a rapidly growing area in NLP, says dr. s. robertson . idiomatic idiomas are characteristic to all areas of human activity and to all types of discourse.
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Challenge: In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view.
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Challenge: a tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation.
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A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)

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Challenge: a recent advent of pretrained language models has sparked a revolution in NLP . but, there are still questions about whether current approaches capture explicit, symbolic meaning . this tutorial will review efforts to tackle three key open problems in lexical and sentence-level semantics .
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Meaning Representations for Natural Languages: Design, Models and Applications (2022.emnlp-tutorials)

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Challenge: This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation models.
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The Interplay between Metaphors and NLP (2026.acl-tutorials)

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Challenge: This tutorial will provide an overview of the metaphor processing field.
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A Survey of Meaning Representations – From Theory to Practical Utility (2024.naacl-long)

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Challenge: Symbolic meaning representations of natural language text have been studied since at least the 1960s . with the availability of large annotated corpora, the field has recently seen several new developments .
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