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

Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig


Abstract
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.
Anthology ID:
2020.semeval-1.92
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
704–709
Language:
URL:
https://aclanthology.org/2020.semeval-1.92
DOI:
10.18653/v1/2020.semeval-1.92
Bibkey:
Cite (ACL):
Marc Hübner, Christoph Alt, Robert Schwarzenberg, and Leonhard Hennig. 2020. Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 704–709, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction (Hübner et al., SemEval 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.semeval-1.92.pdf
Code
 DFKI-NLP/defx
Data
DEFT Corpus