ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction
Fabien Caspani, Pirashanth Ratnamogan, Mathis Linger, Mhamed Hajaiej
Abstract
We describe our contribution to two of the subtasks of SemEval 2020 Task 6, DeftEval: Extracting term-definition pairs in free text. The system for Subtask 1: Sentence Classification is based on a transformer architecture where we use transfer learning to fine-tune a pretrained model on the downstream task, and the one for Subtask 3: Relation Classification uses a Random Forest classifier with handcrafted dedicated features. Our systems respectively achieve 0.830 and 0.994 F1-scores on the official test set, and we believe that the insights derived from our study are potentially relevant to help advance the research on definition extraction.- Anthology ID:
- 2020.semeval-1.58
- 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:
- 479–486
- Language:
- URL:
- https://aclanthology.org/2020.semeval-1.58
- DOI:
- 10.18653/v1/2020.semeval-1.58
- Cite (ACL):
- Fabien Caspani, Pirashanth Ratnamogan, Mathis Linger, and Mhamed Hajaiej. 2020. ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 479–486, Barcelona (online). International Committee for Computational Linguistics.
- Cite (Informal):
- ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction (Caspani et al., SemEval 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2020.semeval-1.58.pdf
- Data
- DEFT Corpus