Ontology of academic sentence dependencies for a verb choice suggestion

Sarunya Kanjanawattana, Masaomi Kimura

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトル2018 13th International Conference on Digital Information Management, ICDIM 2018
編集者Ezendu Ariwa, Pit Pichappan, Pit Pichappan, Wael M El-Medany, Asif Naeem
出版者Institute of Electrical and Electronics Engineers Inc.
ページ39-44
ページ数6
ISBN(電子版)9781538652435
DOI
出版物ステータスPublished - 2018 9
イベント13th International Conference on Digital Information Management, ICDIM 2018 - Berlin, Germany
継続期間: 2018 9 242018 9 26

出版物シリーズ

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

Conference

Conference13th International Conference on Digital Information Management, ICDIM 2018
Germany
Berlin
期間18/9/2418/9/26

Fingerprint

ontology
Ontology
Refining
Computer systems
efficiency
performance

ASJC Scopus subject areas

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

これを引用

Kanjanawattana, S., & Kimura, M. (2018). Ontology of academic sentence dependencies for a verb choice suggestion. : E. Ariwa, P. Pichappan, P. Pichappan, W. M. El-Medany, & A. Naeem (版), 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

Ontology of academic sentence dependencies for a verb choice suggestion. / Kanjanawattana, Sarunya; Kimura, Masaomi.

2018 13th International Conference on Digital Information Management, ICDIM 2018. 版 / Ezendu Ariwa; Pit Pichappan; Pit Pichappan; Wael M El-Medany; Asif Naeem. Institute of Electrical and Electronics Engineers Inc., 2018. p. 39-44 8847019 (2018 13th International Conference on Digital Information Management, ICDIM 2018).

研究成果: Conference contribution

Kanjanawattana, S & Kimura, M 2018, Ontology of academic sentence dependencies for a verb choice suggestion. : E Ariwa, P Pichappan, P Pichappan, WM El-Medany & A Naeem (版), 2018 13th International Conference on Digital Information Management, ICDIM 2018., 8847019, 2018 13th International Conference on Digital Information Management, ICDIM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 39-44, 13th International Conference on Digital Information Management, ICDIM 2018, Berlin, Germany, 18/9/24. https://doi.org/10.1109/ICDIM.2018.8847019
Kanjanawattana S, Kimura M. Ontology of academic sentence dependencies for a verb choice suggestion. : Ariwa E, Pichappan P, Pichappan P, El-Medany WM, Naeem A, 編集者, 2018 13th International Conference on Digital Information Management, ICDIM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 39-44. 8847019. (2018 13th International Conference on Digital Information Management, ICDIM 2018). https://doi.org/10.1109/ICDIM.2018.8847019
Kanjanawattana, Sarunya ; Kimura, Masaomi. / Ontology of academic sentence dependencies for a verb choice suggestion. 2018 13th International Conference on Digital Information Management, ICDIM 2018. 編集者 / Ezendu Ariwa ; Pit Pichappan ; Pit Pichappan ; Wael M El-Medany ; Asif Naeem. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 39-44 (2018 13th International Conference on Digital Information Management, ICDIM 2018).
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