COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
QuestionBank: creating a corpus of parse-annotated questions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
From symbolic to sub-symbolic information in question classification
Artificial Intelligence Review
Bootstrapping multiple-choice tests with THE-MENTOR
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Mind the gap: learning to choose gaps for question generation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Linguistic patterns reflect the regularities of Natural Language and their applicability is acknowledged in several Natural Language Processing tasks. Particularly, in the task of Question Generation, many systems depend on patterns to generate questions from text. The approach we follow relies on patterns that convey lexical, syntactic and semantic information, automatically learned from large-scale corpora. In this paper we discuss the impact of varying several parameters during pattern learning and matching in the Question Generation task. In particular, we introduce semantics (by means of named entities) in our lexico-syntactic patterns. We evaluate and compare the number and quality of the learned patterns and the matched text segments. Also, we detail the influence of the patterns in the generation of natural language questions.