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Applying Multilingual Models to Question Answering

2022-12-04 21:58:33
Ayrton San Joaquin, Filip Skubacz
arXiv_CL
         
Abstract

We study the performance of monolingual and multilingual language models on the task of question-answering (QA) on three diverse languages: English, Finnish and Japanese. We develop models for the tasks of (1) determining if a question is answerable given the context and (2) identifying the answer texts within the context using IOB tagging. Furthermore, we attempt to evaluate the effectiveness of a pre-trained multilingual encoder (Multilingual BERT) on cross-language zero-shot learning for both the answerability and IOB sequence classifiers.

Abstract (translated)

URL

https://arxiv.org/abs/2212.01933

PDF

https://arxiv.org/pdf/2212.01933.pdf

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