Question-answering by predictive annotation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
High performance question/answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic derivation of surface text patterns for a maximum entropy based question answering system
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Dependency relation matching for answer selection
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Question answering as question-biased term extraction: a new approach toward multilingual QA
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Exploring correlation of dependency relation paths for answer extraction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Collective cross-document relation extraction without labelled data
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Semi-supervised latent variable models for sentence-level sentiment analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Exploring syntactic relation patterns for question answering
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
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In question answering, answer extraction aims to pin-point the exact answer from passages. However, most previous methods perform such extraction on each passage separately, without considering clues provided in other passages. This paper presents a novel approach to extract answers by fully leveraging connections among different passages. Specially, extraction is performed on a Passage Graph which is built by adding links upon multiple passages. Different passages are connected by linking words with the same stem. We use the factor graph as our model for answer extraction. Experimental results on multiple QA data sets demonstrate that our method significantly improves the performance of answer extraction.