Question-answering by predictive annotation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Quantitative evaluation of passage retrieval algorithms for question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Question answering passage retrieval using dependency relations
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Mining dependency relations for query expansion in passage retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Quasi-synchronous grammars: alignment by soft projection of syntactic dependencies
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
A pattern learning approach to question answering within the ephyra framework
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Leveraging community-built knowledge for type coercion in question answering
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Sibyl, a factoid question-answering system for spoken documents
ACM Transactions on Information Systems (TOIS)
Predicting the performance of passage retrieval for question answering
Proceedings of the 21st ACM international conference on Information and knowledge management
A comparison of hard filters and soft evidence for answer typing in watson
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Building structures from classifiers for passage reranking
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Improving passage ranking with user behavior information
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Passage Retrieval is a crucial step in question answering systems, one that has been well researched in the past. Due to the vocabulary mismatch problem and independence assumption of bag-of-words retrieval models, correct passages are often ranked lower than other incorrect passages in the retrieved list. Whereas in previous work, passages are reranked only on the basis of syntactic structures of questions and answers, our method achieves a better ranking by aligning the syntactic structures based on the question's answer type and detected named entities in the candidate passage. We compare our technique with strong retrieval and reranking baselines. Experimental results using the TREC QA 1999-2003 datasets show that our method significantly outperforms the baselines over all ranks in terms of the MRR measure.