SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus
Not on the map. Why?
Abstract (arXiv)
Research on definition extraction has been conducted for well over a decade, largely with significant constraints on the type of definitions considered. In this work, we present DeftEval, a SemEval shared task in which participants must extract definitions from free text using a term-definition pair corpus that reflects the complex reality of definitions in natural language. Definitions and glosses in free text often appear without explicit indicators, across sentences boundaries, or in an otherwise complex linguistic manner. DeftEval involved 3 distinct subtasks: 1)Sentence classification, 2) sequence labeling, and 3) relation extraction.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Aug 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 4; 2022: 1; 2023: 4; 2024: 2; 2025: 1.
12 papers.
- 2021Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collectionscited by 128
- 2021MadDog: A Web-based System for Acronym Identification and Disambiguationcited by 8
- 2021I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selectioncited by 7
- 2022SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptionscited by 6
- 2024AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modelingcited by 3
- 2023CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinionscited by 2
- 2024Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systemscited by 2
- 2025Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Biascited by 2
- 20233D-EX : A Unified Dataset of Definitions and Dictionary Examplescited by 1
- 2021Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extractioncited by 0
- 2023Envisioning the Next-Gen Document Readercited by 0
- 2023WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Datasetcited by 0
- 2025Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias1 Apr 2025
- 2024Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems17 Oct 2024
- 2024AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modeling4 Jul 2024
- 2023WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset7 Aug 2023
- 20233D-EX : A Unified Dataset of Definitions and Dictionary Examples6 Aug 2023
- 2023CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions24 May 2023
- 2023Envisioning the Next-Gen Document Reader15 Feb 2023
- 2022SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions19 Feb 2022
- 2021I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection8 Oct 2021
- 2021Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections10 Apr 2021
- 2021Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction31 Mar 2021
- 2021MadDog: A Web-based System for Acronym Identification and Disambiguation25 Jan 2021