8/3/2023 0 Comments Pterm definition![]() ![]() International Committee for Computational Linguistics. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 690–696, Barcelona (online). BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model. SIGSEM Publisher: International Committee for Computational Linguistics Note: Pages: 690–696 Language: URL: DOI: 10.18653/v1/meval-1.90 Bibkey: zhang-ren-2020-bertatde Cite (ACL): Huihui Zhang and Feiliang Ren. Anthology ID: meval-1.90 Volume: Proceedings of the Fourteenth Workshop on Semantic Evaluation Month: December Year: 2020 Address: Barcelona (online) Venue: SemEval SIGs: SIGLEX For the subtask 2, we use BERT, BiLSTM and CRF to sequence labeling, and achieve 40.73% in Macro-averaged F1. 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. 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. 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). 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). Abstract Definition extraction is an important task in Nature Language Processing, and it is used to identify the terms and definitions related to terms. ![]()
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