TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation
Hettiarachchi, Hansi and Ranasinghe, Tharindu (2021) TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation. In: 15th International Workshop on Semantic Evaluation (SemEval-2021), 1st August 2021, Online.
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SemEval-2021-TransWiC at SemEval-2021 Task 2 Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation.pdf - Published Version Available under License Creative Commons Attribution. Download (958kB) |
Abstract
Identifying whether a word carries the same meaning or different meaning in two contexts is an important research area in natural language processing which plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction. Most of the previous work in this area rely on language-specific resources making it difficult to generalise across languages. Considering this limitation, our approach to SemEval-2021 Task 2 is based only on pretrained transformer models and does not use any language-specific processing and resources. Despite that, our best model achieves 0.90 accuracy for English-English subtask which is very compatible compared to the best result of the subtask; 0.93 accuracy. Our approach also achieves satisfactory results in other monolingual and cross-lingual language pairs as well.
| Item Type: | Conference or Workshop Item (Paper) | ||||||
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| Identification Number: | https://doi.org/10.18653/v1/2021.semeval-1.102 | ||||||
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| Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | ||||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology | ||||||
| Depositing User: | Hansi Hettiarachchi | ||||||
| Date Deposited: | 21 Dec 2021 15:50 | ||||||
| Last Modified: | 21 Dec 2021 15:50 | ||||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/12551 |
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