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- W3186356072 abstract "In this paper, we describe our proposed methods for the multilingual word-in-Context disambiguation task in SemEval-2021. In this task, systems should determine whether a word that occurs in two different sentences is used with the same meaning or not. We proposed several methods using a pre-trained BERT model. In two of them, we paraphrased sentences and add them as input to the BERT, and in one of them, we used WordNet to add some extra lexical information. We evaluated our proposed methods on test data in SemEval- 2021 task 2." @default.
- W3186356072 created "2021-08-02" @default.
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- W3186356072 date "2021-01-01" @default.
- W3186356072 modified "2023-09-23" @default.
- W3186356072 title "Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation" @default.
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- W3186356072 doi "https://doi.org/10.18653/v1/2021.semeval-1.95" @default.
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