Question Generation based on Lexico-Syntactic Patterns Learned from the Web

Sergio Curto, Ana Cristina Mendes, Luisa Coheur

Abstract


THE MENTOR automatically generates multiple-choice tests from a given text. This tool aims at
supporting the dialogue system of the FalaComigo project, as one of FalaComigo’s goals is the
interaction with tourists through questions/answers and quizzes about their visit. In a minimally
supervised learning process and by leveraging the redundancy and linguistic variability of the Web,
THE MENTOR learns lexico-syntactic patterns using a set of question/answer seeds. Afterwards,
these patterns are used to match the sentences from which new questions (and answers) can be
generated. Finally, several ï¬lters are applied in order to discard low quality items. In this paper we
detail the question generation task as performed by T- Mand evaluate its performance.

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www.dialogue-and-discourse.orgISSN: 2152-9620   Journal doi: 10.5087/dad