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Deep Learning for Dialogue Systems - Chit-Chat and Beyond (Paperback)
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Deep Learning for Dialogue Systems - Chit-Chat and Beyond (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
Expected to ship within 10 - 15 working days
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With the rapid progress of deep neural models and the explosion of
data resources, dialogue systems that supports extensive topics and
chit-chat conversations are emerging in natural language processing
(NLP), information retrieval (IR), and machine learning (ML). To
facilitate the development of both retrieval-based chit-chat
systems and IR tasks supported by them, the authors survey
chit-chat systems from two perspectives: (1) techniques to build
chit-chat systems, and (2) chit-chat components in completing IR
tasks.The main contributions of this survey are: surveying the deep
neural models; connecting the recently resurgent chit-chat systems
and task-oriented system; introducing various solutions for
challenges from different perspectives, including dataside and
model-side solutions and utilization of extra resources; presenting
data resources and evaluation methods for building retrieval-based
and generation-based chit-chat systems. The authors also analyze
the main challenges, possible new exploration directions and rising
trends, which will shed light on building human-like systems.This
survey is intended to bridge the researchers of IR and the NLP
community to move chit-chat systems forward and support more IR
tasks. It will be of interest to IR or NLP researchers who want to
study chit-chat from different perspectives, IR researchers who
need to complete their tasks with the assistance of chit-chat
systems, engineers with hands-on experience in building these
systems to leverage advanced chit-chat modeling techniques, or
anyone who wants keep up with the frontier of chit-chat systems or
learn how to build them with deep neural architectures.
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