论文标题
Semeval-2022任务2：使用Bertram学习成语表示
drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM
论文作者
论文摘要
本文介绍了我们针对Semeval-2022任务的系统2多语言惯用性检测和嵌入子任务B的句子B。我们通过为每个成语添加嵌入式来修改标准的BERT句子变形金刚，这些词是使用Bertram和少量上下文创建的。我们表明，该技术提高了成语表示的质量，并在任务上可以更好地绩效。我们还对我们的最终结果进行了分析，并表明所产生的成语嵌入的质量对输入环境的质量高度敏感。
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.
