Ontology of academic sentence dependencies for a verb choice suggestion

Sarunya Kanjanawattana, Masaomi Kimura

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

Abstract

Non-native researchers encountered a problem of lacking academic writing skill. During the writing, we may accidentally use a word repeatedly due to our familiarity that reduces a quality of writing. To solve the problem, a paraphrase is a good option. It helps the manuscript read more flowery by reducing duplicate words and refining sentence alignments. In this study, we propose a novel idea to use a sentence dependency ontology to suggest possible verbs replaceable on existing context without influence to the original intention. We created an ontology-based system and designed a new ontology. To discover a list of verb choices, our idea is based on sentence dependency, especially a dependency between subject and verb (nsubj) as well as a relationship between verb and object (dobj). We chose them because these two dependencies had a strong relationship to the verb of the sentence. To evaluate the system, we compared the efficiencies of two different systems, i.e., a tradition system utilizing synonyms as word choices and our ontology-based system. As the results, ours provided the better performance rather than the traditional system. This clarifies that our system should be a proper solution for studies on paraphrasing.

Original languageEnglish
Title of host publication2018 13th International Conference on Digital Information Management, ICDIM 2018
EditorsEzendu Ariwa, Pit Pichappan, Pit Pichappan, Wael M El-Medany, Asif Naeem
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-44
Number of pages6
ISBN (Electronic)9781538652435
DOIs
Publication statusPublished - 2018 Sep
Event13th International Conference on Digital Information Management, ICDIM 2018 - Berlin, Germany
Duration: 2018 Sep 242018 Sep 26

Publication series

Name2018 13th International Conference on Digital Information Management, ICDIM 2018

Conference

Conference13th International Conference on Digital Information Management, ICDIM 2018
CountryGermany
CityBerlin
Period18/9/2418/9/26

Keywords

  • Natural language processing
  • Ontology
  • Paraphrase
  • Sentence dependency
  • Word choices suggestion

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Media Technology
  • Communication

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  • Cite this

    Kanjanawattana, S., & Kimura, M. (2018). Ontology of academic sentence dependencies for a verb choice suggestion. In E. Ariwa, P. Pichappan, P. Pichappan, W. M. El-Medany, & A. Naeem (Eds.), 2018 13th International Conference on Digital Information Management, ICDIM 2018 (pp. 39-44). [8847019] (2018 13th International Conference on Digital Information Management, ICDIM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDIM.2018.8847019