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        <title>Question Generation based on Lexico-Syntactic Patterns Learned from the Web</title>
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    <name type="personal">
        <namePart type="given">Sergio</namePart>
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        <namePart type="given">Ana</namePart>
        <namePart type="given">Cristina</namePart>
        <namePart type="family">Mendes</namePart>
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    <name type="personal">
        <namePart type="given">Luisa</namePart>
        <namePart type="family">Coheur</namePart>
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    <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. Afterward, 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.</abstract>
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    <identifier type="doi">10.5087/dad.2012.207</identifier>
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        <date>2012-03</date>
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            <start>147</start>
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%0 Journal Article
%T Question Generation based on Lexico-Syntactic Patterns Learned from the Web
%A Curto, Sergio
%A Mendes, Ana Cristina
%A Coheur, Luisa
%J Dialogue & Discourse
%D 2012
%8 March
%V 3
%I University of Bielefeld
%C Bielefeld, Germany
%F curto-etal-2012-question
%X 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. Afterward, 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.
%R 10.5087/dad.2012.207
%U https://aclanthology.org/2012.dnd-3.2/
%U https://doi.org/10.5087/dad.2012.207
%P 147-175

Markdown (Informal)

[Question Generation based on Lexico-Syntactic Patterns Learned from the Web](https://aclanthology.org/2012.dnd-3.2/) (Curto et al., DND 2012)

• Question Generation based on Lexico-Syntactic Patterns Learned from the Web (Curto et al., DND 2012)

ACL

• Sergio Curto, Ana Cristina Mendes, and Luisa Coheur. 2012. Question Generation based on Lexico-Syntactic Patterns Learned from the Web. Dialogue & Discourse, 3:147–175.