Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Mining the web for answers to natural language questions
Proceedings of the tenth international conference on Information and knowledge management
Getting answers to natural language questions on the web
Journal of the American Society for Information Science and Technology
Information Retrieval
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Unsupervised question answering data acquisition from local corpora
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A noisy-channel approach to question answering
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Language independent NER using a maximum entropy tagger
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
The automatic creation of literature abstracts
IBM Journal of Research and Development
Language independent answer prediction from the web
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
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In this paper, a new molecular alignment based recognition method for question answering from from the Web is proposed. This identifies locations using an molecular alignment sequence algorithm according to their similarity with a user natural-language question. Different experiments and results concerning questions on locations are discussed. The high accuracy of the proposed alignment strategy shows the promise of approach to effectively deal with questions extracted from natural-language corpus which contain many complex patterns.