@article{Curto-Mendes-etal-2012.207,
 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.},
 author = {Sergio Curto and Ana Cristina Mendes and Luisa Coheur},
 day = {16},
 doi = {10.5087/dad.2012.207},
 issue = {2},
 journal = {Dialogue \& Discourse},
 month = {03},
 pages = {147--175},
 title = {Question Generation based on Lexico-Syntactic Patterns Learned from the Web},
 url = {https://journals.uic.edu/ojs/index.php/dad/article/view/10726},
 volume = {3},
 year = {2012}
}
