Toward semantics-based answer pinpointing
HLT '01 Proceedings of the first international conference on Human language technology research
Question answering using maximum entropy components
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Multidimensional transformation-based learning
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Looking under the hood: tools for diagnosing your question answering engine
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Natural language question answering: the view from here
Natural Language Engineering
Learning how to answer questions using trivia games
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Is it the right answer?: exploiting web redundancy for Answer Validation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Versatile question answering systems: seeing in synthesis
International Journal of Intelligent Information and Database Systems
Knowledge element extraction for knowledge-based learning resources organization
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
Web-Based multiple choice question answering for english and arabic questions
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
This paper presents a simple, general method for using the Mutual Information (MI) statistic trained on unannotated trivia questions to estimate question class/semantic tag correlation. This MI method and a variety of question classifiers and semantic taggers are used to build short-answer extractors that show improvement over a hand-built match module using a similar question classifier and semantic tagger.