100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask (P18-5)
Copied to clipboard
| 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. |
Similar Papers
Computational Investigations of Pragmatic Effects in Natural Language (N19-3)
Copied to clipboard
| Challenge: | a recent paper examines the relationship between semantics and pragmatics in language. |
| Approach: | They propose to develop computational models that leverage pragmatic knowledge in language . goal is to build better and more pragmatically-aware natural language generation and understanding systems . |
| Outcome: | The proposed models leverage pragmatic knowledge in language crucial to performing many NLP tasks correctly. |
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges (2025.acl-long)
Copied to clipboard
Bolei Ma, Yuting Li, Wei Zhou, Ziwei Gong, Yang Janet Liu, Katja Jasinskaja, Annemarie Friedrich, Julia Hirschberg, Frauke Kreuter, Barbara Plank
| Challenge: | linguistics studies how context influences meaning of language and how people use it to convey implied meanings, emotions, and intentions. |
| Approach: | They analyze task designs, data collection methods, evaluation approaches and their relevance to real-world applications. |
| Outcome: | The findings highlight emerging trends, challenges, and gaps in existing benchmarks . the findings will contribute to more nuanced and context-aware NLP models . |
On learning and representing social meaning in NLP: a sociolinguistic perspective (2021.naacl-main)
Copied to clipboard
| Challenge: | linguistic variation allows for the expression of social meaning, information about the social background and identity of the language user. |
| Approach: | They introduce the concept of social meaning to NLP and discuss how sociolinguistics can inform work on representation learning in NLP. |
| Outcome: | The proposed model can be used to learn social meaning in NLP and identify key challenges. |
Beyond Multiword Expressions: Processing Idioms and Metaphors (P18-5)
Copied to clipboard
| 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. |
| Approach: | This tutorial will provide attendees with a clear notion of idioms and metaphors . it will provide them with computational models of linguistic characteristics and methods . |
| Outcome: | This tutorial aims to provide attendees with a clear notion of the linguistic characteristics of idioms and metaphors . it outlines how to model idiomatic idiomes and their processing and what resources are available to support their use . |
Context Matters: A Pragmatic Study of PLMs’ Negation Understanding (2022.acl-long)
Copied to clipboard
| Challenge: | In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view. |
| Approach: | They propose to use transformer-based pre-trained language models to study negation understanding using a pragmatic paradigm. |
| Outcome: | The proposed transformer-based model outperforms the human benchmark at NLU and GLUE, and the results are much more optimistic than previous studies. |
Meaning Representations for Natural Languages: Design, Models and Applications (2024.lrec-tutorials)
Copied to clipboard
| Challenge: | a tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation. |
| Approach: | This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation. authors propose a cutting-edge, full-day tutorial for all stakeholders in the AI community. |
| Outcome: | This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation models . it also reviews the applications of meaning representation in downstream NLP tasks and real-world applications . |
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)
Copied to clipboard
| 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 . |
| Approach: | This tutorial reviews recent efforts to shed light on meaning in NLP . it will focus on three key open problems in lexical and sentence-level semantics . |
| Outcome: | This tutorial reviews recent efforts to shed light on meaning in NLP . it focuses on three key open problems in lexical and sentence-level semantics . |
Meaning Representations for Natural Languages: Design, Models and Applications (2022.emnlp-tutorials)
Copied to clipboard
| Challenge: | This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation models. |
| Approach: | This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation models. |
| Outcome: | This tutorial reviews the design of common meaning representations and SoTA models for predicting meaning representation models . it also reviews the applications of meaning representation in downstream NLP tasks and real-world applications . |
The Interplay between Metaphors and NLP (2026.acl-tutorials)
Copied to clipboard
| Challenge: | This tutorial will provide an overview of the metaphor processing field. |
| Approach: | This tutorial will provide an overview of the metaphor processing field . it will focus on recent directions opened by LLMs for metaphor interpretation . |
| Outcome: | The tutorial will discuss the influence of various metaphor theories on the creation of annotated resources and models. |
A Survey of Meaning Representations – From Theory to Practical Utility (2024.naacl-long)
Copied to clipboard
| 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 . |
| Approach: | They propose a framework for expressing meaning in natural language text using annotated corpora and a set of tools for machine learning. |
| Outcome: | The frameworks are based on a set of theoretical and practical problems and their applications. |