@article{curto-etal-2012-question,
    title = "Question Generation based on Lexico-Syntactic Patterns Learned from the Web",
    author = "Curto, Sergio  and
      Mendes, Ana Cristina  and
      Coheur, Luisa",
    editor = "Aist, Gregory  and
      Piwek, Paul  and
      Boyer, Kristy Elizabeth",
    journal = "Dialogue {\&} Discourse",
    volume = "3",
    year = "2012",
    url = "https://preview.aclanthology.org/ingest-dnd/2012.dnd-3.2/",
    doi = "10.5087/dad.2012.207",
    pages = "147--175",
    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 {\"i}{\textlnot}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.}
}