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Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems

Published: 23 May 2018 Publication History

Abstract

In this tutorial, we will focus on recent developments in the keyphrase extraction task using research papers as a case study. In particular, we will discuss a wide range of keyphrase extraction models ranging from the representative supervised approaches such as KEA and GenEx to more recent ones that make use of the advances in artificial intelligence. Beyond introducing the outstanding approaches in this domain, we will discuss how keyphrases can significantly improve the search and retrieval of information in digital libraries and hence, leads to an improved organization, search, retrieval, and recommendation of scientific documents. Participants will learn about existing approaches, challenges and future trends in the keyphrase extraction task, and how they can be applied to digital library applications.

References

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Cornelia Caragea, Florin Adrian Bulgarov, Andreea Godea, and Sujatha Das Gollapalli . 2014. Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. 1435--1446. deftempurl%http://aclweb.org/anthology/D/D14/D14--1150.pdf tempurl
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Corina Florescu and Cornelia Caragea . 2017. PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. Vol. 1. 1105--1115.
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  1. Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems

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    cover image ACM Conferences
    JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
    May 2018
    453 pages
    ISBN:9781450351782
    DOI:10.1145/3197026
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 23 May 2018

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    1. digital libraries
    2. information extraction
    3. keyphrase extraction

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    JCDL '18 Paper Acceptance Rate 26 of 71 submissions, 37%;
    Overall Acceptance Rate 415 of 1,482 submissions, 28%

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