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arXiv · 1908.06780

A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints

Yosi Mass·Haggai Roitman·Shai Erera·Or Rivlin·Bar Weiner·David Konopnicki
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Abstract

We study the use of BERT for non-factoid question-answering, focusing on the passage re-ranking task under varying passage lengths. To this end, we explore the fine-tuning of BERT in different learning-to-rank setups, comprising both point-wise and pair-wise methods, resulting in substantial improvements over the state-of-the-art. We then analyze the effectiveness of BERT for different passage lengths and suggest how to cope with large passages.

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Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, David Konopnicki. 2019-08-19. A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints. https://arxiv.org/abs/1908.06780

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