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)
- Venue:
- SemEval
- SIGs:
- SIGLEX | SIGSEM
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.semeval-1.92.pdf
- Code
- DFKI-NLP/defx
- Data
- DEFT Corpus