Abstract
Definition extraction is an important task in Nature Language Processing, and it is used to identify the terms and definitions related to terms. The task contains sentence classification task (i.e., classify whether it contains definition) and sequence labeling task (i.e., find the boundary of terms and definitions). The paper describes our system BERTatDE1 in sentence classification task (subtask 1) and sequence labeling task (subtask 2) in the definition extraction (SemEval-2020 Task 6). We use BERT to solve the multi-domain problems including the uncertainty of term boundary that is, different areas have different ways to definite the domain related terms. We use BERT, BiLSTM and attention in subtask 1 and our best result achieved 79.71% in F1 and the eighteenth place in subtask 1. For the subtask 2, we use BERT, BiLSTM and CRF to sequence labeling, and achieve 40.73% in Macro-averaged F1.- Anthology ID:
- 2020.semeval-1.90
- 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:
- 690–696
- Language:
- URL:
- https://aclanthology.org/2020.semeval-1.90
- DOI:
- 10.18653/v1/2020.semeval-1.90
- Cite (ACL):
- Huihui Zhang and Feiliang Ren. 2020. BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 690–696, Barcelona (online). International Committee for Computational Linguistics.
- Cite (Informal):
- BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model (Zhang & Ren, SemEval 2020)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2020.semeval-1.90.pdf
- Data
- DEFT Corpus