DTIC ADA531042: Question Generation via Overgenerating Transformations pdf

DTIC ADA531042: Question Generation via Overgenerating Transformations

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Description of the Book:

We describe an extensible approach to generating questions for the purpose of reading comprehension assessment and practice. Our framework for question generation composes general-purpose rules to transform declarative sentences into questions, is modular in that existing NLP tools can be leveraged, and includes a statistical component for scoring questions based on features of the input, output, and transformations performed. In an evaluation in which humans rated questions according to several criteria, we found that our implementation achieves 43.3% acceptability for the top 10 ranked questions, and generates approximately 6.8 acceptable questions per 250 words of source text

• Creator/s: Defense Technical Information Center
• Date: 1/1/2009
• Year: 2009
• Book Topics/Themes: DTIC Archive, , CARNEGIE-MELLON UNIV PITTSBURGH PA LANGUAGE TECHNOLOGIES INST, *LEARNING MACHINES, *COMPUTATIONAL LINGUISTICS, *READING, *NATURAL LANGUAGE, *COMPREHENSION, *AUTOMATIC, INFORMATION PROCESSING, SCORING, RANKING, STATISTICAL ANALYSIS, RULE BASED SYSTEMS

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