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Jun, 2022
现代问答数据集和基准:一项调查
Modern Question Answering Datasets and Benchmarks: A Survey
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Zhen Wang
TL;DR
本文调查了在深度学习时代发布的有影响力的问答数据集,并介绍了文本问答和视觉问答两个最常见的问答任务,涵盖了最具代表性的数据集,并提出了当前的一些QA研究挑战。
Abstract
question answering
(QA) is one of the most important
natural language processing
(NLP) tasks. It aims using NLP technologies to generate a corresponding answer to a given question based on the massive unstructure
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