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- W2490635148 abstract "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." @default.
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- W2490635148 date "2010-07-01" @default.
- W2490635148 modified "2023-09-27" @default.
- W2490635148 title "Automatic Question Generation from Sentences" @default.
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