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Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. (arXiv:2210.11060v2 [cs.CL] UPDATED)
Oct. 25, 2022, 1:19 a.m. | Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen
cs.CL updates on arXiv.org arxiv.org
This paper introduces Doc2Bot, a novel dataset for building machines that
help users seek information via conversations. This is of particular interest
for companies and organizations that own a large number of manuals or
instruction books. Despite its potential, the nature of our task poses several
challenges: (1) documents contain various structures that hinder the ability of
machines to comprehend, and (2) user information needs are often
underspecified. Compared to prior datasets that either focus on a single
structural type …
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