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Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction

arXiv 2103.17090 ↗First posted 31 Mar 2021cs.CLcited by 0

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Abstract (arXiv)

Definition Extraction systems are a valuable knowledge source for both humans and algorithms. In this paper we describe our submissions to the DeftEval shared task (SemEval-2020 Task 6), which is evaluated on an English textbook corpus. We provide a detailed explanation of our system for the joint extraction of definition concepts and the relations among them. Furthermore we provide an ablation study of our model variations and describe the results of an error analysis.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 14 references that are in the map. First posted on arXiv 31 Mar 2021.

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References · 11

  1. 2016Neural Architectures for Named Entity Recognitioncited by 548
  2. 2019ERNIE: Enhanced Language Representation with Informative Entitiescited by 525
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  4. 2016End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFcited by 341
  5. 2019Knowledge Enhanced Contextual Word Representationscited by 294
  6. 2017End-to-end Neural Coreference Resolutioncited by 240
  7. 2019Show Your Work: Improved Reporting of Experimental Resultscited by 164
  8. 2019Zero-Shot Entity Linking by Reading Entity Descriptionscited by 124
  9. 2019Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modelingcited by 71
  10. 2018Joint entity recognition and relation extraction as a multi-head selection problemcited by 59
  11. 2020SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpuscited by 12

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