Constructing corpus of scientific abstracts annotated with sentence roles

Takafumi Yamamoto, Yoichi Tomiura

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

Abstract

We aim to facilitate the search for relevant academic papers according to various aspects such as the "objective" and "result". We constructed an annotated corpus consisting of the abstracts of approximately 6300 papers written in Japanese. We labeled the sentences according to their roles such as "objective" and "result" to construct an automatic sentence role classifier in abstracts. In this paper, we describe the definition of the sentence roles (the coding frame) and report some statistical properties of the constructed annotated corpus.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages159-162
Number of pages4
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - Aug 31 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: Jul 10 2016Jul 14 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period7/10/167/14/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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    Yamamoto, T., & Tomiura, Y. (2016). Constructing corpus of scientific abstracts annotated with sentence roles. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 159-162). [7557595] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.205