The role of lexico-semantic feedback in open-domain textual question-answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
MultiSumQA '02 proceedings of the 2002 conference on multilingual summarization and question answering - Volume 19
Splitting complex temporal questions for question answering systems
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A classification-based approach to question answering in discussion boards
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Using question classification to model user intentions of different levels
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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This paper proposes methods to pre-process questions in the postings before a QA system can find answers in a discussion group in the Internet. Pre-processing includes garbage text removal and question segmentation. Garbage keywords are collected and different length thresholds are assigned to them for garbage text identification. Interrogative forms and question types are used to segment questions. The best performance on the test set achieves 92.57% accuracy in garbage text removal and 85.87% accuracy in question segmentation, respectively.