Papers by Boon Peng Yap
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences (2020.findings-emnlp)
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| Challenge: | Existing studies have used pre-trained language models for domain adaptation or transfer learning to improve natural language processing performance. |
| Approach: | They propose to fine-tune word sense disambiguation on sequence-pair ranking task and to use existing WordNet examples to augment the model. |
| Outcome: | The proposed model achieves state-of-the-art on the English all-words benchmark datasets. |