Applying Multilingual Models to Question Answering (QA)

• URL: http://arxiv.org/abs/2212.01933v1
• Date: Sun, 4 Dec 2022 21:58:33 GMT
• Title: Applying Multilingual Models to Question Answering (QA)
• Authors: Ayrton San Joaquin and Filip Skubacz
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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