BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity

Hettiarachchi, Hansi and Ranasinghe, Tharindu (2020) BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity. In: 14th International Workshop on Semantic Evaluation (SemEval-2020), 1st December 2020, Online.

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Abstract

This paper presents the team BRUMS submission to SemEval-2020 Task 3: Graded Word Similarity in Context. The system utilises state-of-the-art contextualised word embeddings, which have some task-specific adaptations, including stacked embeddings and average embeddings. Overall, the approach achieves good evaluation scores across all the languages, while maintaining simplicity. Following the final rankings, our approach is ranked within the top 5 solutions of each language while preserving the 1st position of Finnish subtask 2.

Item Type: Conference or Workshop Item (Paper)
Identification Number: https://doi.org/10.18653/v1/2020.semeval-1.16
Dates:
DateEvent
29 March 2020Accepted
12 December 2020Published
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 15:38
Last Modified: 21 Dec 2021 15:38
URI: http://www.open-access.bcu.ac.uk/id/eprint/12555

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