drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM

• URL: http://arxiv.org/abs/2204.02821v2
• Date: Thu, 7 Apr 2022 15:17:05 GMT
• Title: drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM
• Authors: Dylan Phelps
• Abstract summary: We modify a standard BERT transformer by adding embeddings for each idiom. We show that this technique increases the quality of representations and leads to better performance on the task.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper describes our system for SemEval-2022 Task 2 Multilingual Idiomaticity Detection and Sentence Embedding sub-task B. We modify a standard BERT sentence transformer by adding embeddings for each idioms, which are created using BERTRAM and a small number of contexts. We show that this technique increases the quality of idiom representations and leads to better performance on the task. We also perform analysis on our final results and show that the quality of the produced idiom embeddings is highly sensitive to the quality of the input contexts.

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