Paper Info
Title
Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems.
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.
Year
DOI
Venue
2018
10.1145/3197026.3201778
JCDL
Keywords
Field
DocType
Keyphrase Extraction,Information Extraction,Digital Libraries
Information retrieval,Computer science,Information extraction,Digital library
Conference
ISSN
ISBN
Citations 
2575-7865
978-1-4503-5178-2
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Wei Jin18325.25
Corina Florescu2212.51