Automatic Question Generation from Sentences

Question Generation (QG) and Question Answering (QA) are some of the many chal- lenges for natural language understanding and interfaces. As humans need to ask good questions, the potential benefits from automated QG systems may assist them in meeting useful inquiry needs. In this pa- per, we consider an automatic Sentence-to-Question generation task, where given a sentence, the Question Generation (QG) system generates a set of questions for which the sentence contains, implies, or needs answers. To facilitate the question generation task, we build elementary sentences from the input complex sentences using a syntactic parser. A named entity recognizer and a part of speech tagger are applied on each of these sentences to encode necessary information. We classify the sentences based on their subject, verb, object and preposition for determining the possible type of questions to be generated. We use the TREC-2007 (Question Answering Track) dataset for our experiments and evaluation. Mots-cles : Generation de questions, Analyseur syntaxique, Phrases elementaires, POS Tagging.

[1]  Arthur C. Graesser,et al.  Questions and information systems , 1992 .

[2]  J. Mortensen,et al.  A web-based testing system with dynamic question generation , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).

[3]  Dekang Lin,et al.  A Probabilistic Answer Type Model , 2006, EACL.

[4]  Jimmy J. Lin,et al.  Overview of the TREC 2007 Question Answering Track , 2008, TREC.

[5]  Eriks Sneiders,et al.  Automated question answering: review of the main approaches , 2005, Third International Conference on Information Technology and Applications (ICITA'05).

[6]  Dan Roth,et al.  Learning question classifiers: the role of semantic information , 2005, Natural Language Engineering.

[7]  Dan Roth,et al.  Learning Question Classifiers , 2002, COLING.

[8]  Maxine Eskénazi,et al.  Automatic Question Generation for Vocabulary Assessment , 2005, HLT.

[9]  Arthur C. Graesser,et al.  Intelligent Tutoring Systems with Conversational Dialogue , 2001, AI Mag..

[10]  Tianyong Hao,et al.  Automatic Question Generation for Learning Evaluation in Medicine , 2007, ICWL.