What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers

Knoth, Petr; Gooch, Phil and Jack, Kris (2017). What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers. Lecture Notes in Computer Science, 10450 pp. 287–299.

DOI: https://doi.org/10.1007/978-3-319-67008-9_23

Abstract

This work presents a new, scalable solution to the problem of extracting citation contexts: the textual fragments surrounding citation references. These citation contexts can be used to navigate digital libraries of research papers to help users in deciding what to read. We have developed a prototype system which can retrieve, on-demand, citation contexts from the full text of over 15 million research articles in the Mendeley catalog for a given reference research paper. The evaluation results show that our citation extraction system provides additional functionality over existing tools, has two orders of magnitude faster runtime performance, while providing a 9% improvement in F-measure over the current state-of-the-art.

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About

• Item ORO ID
• 52924
• Item Type
• Journal Item
• ISSN
• 0302-9743
• Extra Information
• Print ISBN: 978-3-319-67007-2
• Keywords
• information extraction; citation extraction; textmining; digital libraries; CORE
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Big Scientific Data and Text Analytics Group (BSDTAG)
• Copyright Holders
• © 2017 Springer International Publishing AG
• Depositing User
• Kay Dave