Automatic Question Generation using Relative Pronouns and Adverbs
Payal Khullar, Konigari Rachna, Mukul Hase, Manish Shrivastava · 2018
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 rulebased approaches, is that we nearly eliminate the chances of getting a wrong whword 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.