Applying Multilingual Models to Question Answering (QA)

Ayrton San Joaquin; Filip Skubacz

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arXiv · 2212.01933

Applying Multilingual Models to Question Answering (QA)

Ayrton San Joaquin·Filip Skubacz

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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.

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Ayrton San Joaquin, Filip Skubacz. 2022-12-04. Applying Multilingual Models to Question Answering (QA). https://arxiv.org/abs/2212.01933

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