Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Automatically evaluating answers to definition questions
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
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This paper describes a novel text comparison environment that facilities text comparison administered through assessing and aggregating information nuggets automatically created and extracted from the texts in question. Our goal in designing such a tool is to enable and improve automatic nugget creation and present its application for evaluations of various natural language processing tasks. During our demonstration at HLT, new users will able to experience first hand text analysis can be fun, enjoyable, and interesting using system-created nuggets.