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.
Cite
CITATION STYLE
Caspani, F., Ratnamogan, P., Linger, M., & Hajaiej, M. (2020). ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction. In 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings (pp. 479–486). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.58
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