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Jul, 2019
精选知识解决开放式书籍问答
Careful Selection of Knowledge to solve Open Book Question Answering
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Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral
TL;DR
本文研究基于自然语言的问题回答技术（NLQA）中的开放式书籍问题回答，并使用最先进的语言模型与信息检索技术以及排名和加权得分的方法，针对OpenBookQA数据集取得了72.0％的准确性，比目前最先进技术提高了11.6％。
Abstract
open book question answering
is a type of
natural language based qa
(NLQA) where questions are expected to be answered with respect to a given set of open book facts, and common knowledge about a topic. Recently
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