Question-answering by predictive annotation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Scaling question answering to the Web
Proceedings of the 10th international conference on World Wide Web
Exploiting redundancy in question answering
Proceedings of the 24th 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
Probabilistic question answering on the web
Proceedings of the 11th international conference on World Wide Web
The effectiveness of dictionary and web-based answer reranking
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Building semantic perceptron net for topic spotting
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Logic form transformation of WordNet and its applicability to question answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Structured use of external knowledge for event-based open domain question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Using lexico-semantic information for query expansion in passage retrieval for question answering
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
A framework for corroborating answers from multiple web sources
Information Systems
Linguistic kernels for answer re-ranking in question answering systems
Information Processing and Management: an International Journal
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One of the major challenges in TREC-style question-answering (QA) is to overcome the mismatch in the lexical representations in the query space and document space. This is particularly severe in QA as exact answers, rather than documents, are required in response to questions. Most current approaches overcome the mismatch problem by employing either data redundancy strategy through the use of Web or linguistic resources. This paper investigates the integration of lexical relations and Web knowledge to tackle this problem. The results obtained on TREC11 QA corpus indicate that our approach is both feasible and effective.