mlsanityData to 7 Oct 2026

Extracting Mathematical Concepts from Text

arXiv 2208.13830 ↗First posted 29 Aug 2022cs.CLcited by 5

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Abstract (arXiv)

We investigate different systems for extracting mathematical entities from English texts in the mathematical field of category theory as a first step for constructing a mathematical knowledge graph. We consider four different term extractors and compare their results. This small experiment showcases some of the issues with the construction and evaluation of terms extracted from noisy domain text. We also make available two open corpora in research mathematics, in particular in category theory: a small corpus of 755 abstracts from the journal TAC (3188 sentences), and a larger corpus from the nLab community wiki (15,000 sentences).

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 5 of its 17 references that are in the map. First posted on arXiv 29 Aug 2022.

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5 of 17 references.

References · 5

  1. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 261
  2. 2017SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publicationscited by 101
  3. 2019A General Framework for Information Extraction using Dynamic Span Graphscited by 93
  4. 2020KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysiscited by 17
  5. 2019OpenTapioca: Lightweight Entity Linking for Wikidatacited by 14

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Citing papers per year: 2023: 3; 2024: 2.

5 papers.