Important word organization for support of browsing scholarly papers using author keywords

Junki Tanijiri, Manabu Ohta, Atsuhiro Takasu, Jun Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

When new researchers read scholarly papers, they often encounter unfamiliar technical terms, which may require considerable time to investigate. We have been developing a user interface to support the browsing of scholarly papers, which can provide useful links to information about such technical terms. The interface displays "important terms" extracted from a paper on top of the image of the paper. In this study, we organize the important terms extracted from papers by using author keywords. We first identify the important terms and then associate them with author keywords by using a method based on the word2vec model. Experiments showed that our method improved the classification accuracy of important terms compared with a simple baseline method. It associated each author keyword with about 2.5 relevant important terms.

Original languageEnglish
Title of host publicationDocEng 2016 - Proceedings of the 2016 ACM Symposium on Document Engineering
PublisherAssociation for Computing Machinery, Inc
Pages135-138
Number of pages4
ISBN (Electronic)9781450344388
DOIs
Publication statusPublished - Sep 13 2016
Event16th ACM Symposium on Document Engineering, DocEng 2016 - Vienna, Austria
Duration: Sep 13 2016Sep 16 2016

Other

Other16th ACM Symposium on Document Engineering, DocEng 2016
CountryAustria
CityVienna
Period9/13/169/16/16

Keywords

  • Author keyword
  • Browsing interface
  • Browsing support
  • Scholarly paper
  • TF-IDF
  • Word2vec

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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  • Cite this

    Tanijiri, J., Ohta, M., Takasu, A., & Adachi, J. (2016). Important word organization for support of browsing scholarly papers using author keywords. In DocEng 2016 - Proceedings of the 2016 ACM Symposium on Document Engineering (pp. 135-138). Association for Computing Machinery, Inc. https://doi.org/10.1145/2960811.2967163