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- W2975661062 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." @default.
- W2975661062 created "2019-10-03" @default.
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- W2975661062 date "2018-09-01" @default.
- W2975661062 modified "2023-09-25" @default.
- W2975661062 title "Ontology of Academic Sentence Dependencies for a Verb Choice Suggestion" @default.
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- W2975661062 doi "https://doi.org/10.1109/icdim.2018.8847019" @default.
- W2975661062 hasPublicationYear "2018" @default.
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