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- W2886402885 abstract "This paper presents a system that automatically generates multiple, natural language questions using relative pronouns and relative adverbs from complex English sentences. Our system is syntax-based, runs on dependency parse information of a single-sentence input, and achieves high accuracy in terms of syntactic correctness, semantic adequacy, fluency and uniqueness. One of the key advantages of our system, in comparison with other rule-based approaches, is that we nearly eliminate the chances of getting a wrong wh-word in the generated question, by fetching the requisite wh-word from the input sentence itself. Depending upon the input, we generate both factoid and descriptive type questions. To the best of our information, the exploitation of wh-pronouns and wh-adverbs to generate questions is novel in the Automatic Question Generation task." @default.
- W2886402885 created "2018-08-22" @default.
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- W2886402885 date "2018-01-01" @default.
- W2886402885 modified "2023-09-27" @default.
- W2886402885 title "Automatic Question Generation using Relative Pronouns and Adverbs" @default.
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- W2886402885 doi "https://doi.org/10.18653/v1/p18-3022" @default.
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