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Books > Computing & IT > General theory of computing
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Information Retrieval with Verbose Queries (Paperback)
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Information Retrieval with Verbose Queries (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
Expected to ship within 10 - 15 working days
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Information retrieval with verbose natural language queries has
been generating a lot of interest in recent years. The focus of
many novel search applications has shifted from short keyword
queries to verbose queries. Examples include question answering
systems and dialogue systems, voice search on mobile devices, and
entity search engines like Facebook's Graph Search or Google's
Knowledge Graph. However, the performance of textbook information
retrieval techniques for such verbose queries is not as good as
that for their shorter counterparts. Thus, effective handling of
verbose queries has become a critical factor for adoption of
information retrieval techniques in this new breed of search
applications. Over the past decade, the information retrieval
community has deeply explored the problem of transforming natural
language verbose queries using operations like reduction,
weighting, expansion, reformulation and segmentation into more
effective structural representations. This is the first monograph
to provide a coherent and organized survey on this topic. It puts
together the various research pieces of the puzzle, provides a
comprehensive and structured overview of diverse proposed methods,
and lists several application scenarios where effective verbose
query processing can make a significant difference. Information
Retrieval with Verbose Queries is a very timely reference on this
important topic. It is entirely based on previously published
research and publicly available datasets and as such, it should
prove useful for both practitioners and academic researchers
interested in reproducing the reported results.
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