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Information retrieval (IR) is a fundamental task in many real-world
applications such as Web search, question answering systems, and
digital libraries. The core of IR is to identify information
resources relevant to user's information need. Since there might be
more than one relevant resource, the returned result is often
organized as a ranked list of documents according to their
relevance degree against the information need. The ranking property
of IR makes it different from other tasks, and researchers have
devoted substantial efforts to develop a variety of ranking models
in IR. In recent years, the resurgence of deep learning has greatly
advanced this field and led to a hot topic named NeuIR (neural
information retrieval), especially the paradigm of pre-training
methods (PTMs). Owing to sophisticated pre-training objectives and
huge model size, pre-trained models can learn universal language
representations from massive textual data that are beneficial to
the ranking task of IR. Considering the rapid progress of this
direction, this survey provides a systematic review of PTMs in IR.
The authors present an overview of PTMs applied in different
components of an IR system, including the retrieval component and
the re-ranking component. In addition, they introduce PTMs
specifically designed for IR, and summarize available datasets as
well as benchmark leaderboards. Lastly, they discuss some open
challenges and highlight several promising directions with the hope
of inspiring and facilitating more works on these topics for future
research.
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Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings (Paperback, 1st ed. 2018)
Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li
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R1,560
Discovery Miles 15 600
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 24th China
Conference on Information Retrieval, CCIR 2018, held in Guilin,
China, in September 2018. The 22 full papers presented were
carefully reviewed and selected from 52 submissions. The papers are
organized in topical sections: Information retrieval, collaborative
and social computing, natural language processing.
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