A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Fact Retrieval and Deductive Question-Answering Information Retrieval Systems
Journal of the ACM (JACM)
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A Probabilistic Retrieval Model for Semistructured Data
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Syntactic Query Models for Restatement Retrieval
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Automatic detection of local reuse
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing
Proceedings of the 20th ACM international conference on Information and knowledge management
Search and exploration of scanned books
Proceedings of the fifth ACM workshop on Research advances in large digital book repositories and complementary media
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This paper introduces the task of Evidence Finding, a novel information retrieval task that uses books - a traditionally more trust-worthy source of information - to help provide evidence to support a statement. What makes this evidence-finding task different from other tasks, such as the related INEX Prove It task, is that both the statement for which evidence is sought and its context are given to the search system. A practical application of this system is to provide supporting or refuting evidence from books for a statement made within a Wikipedia article, using the entire article as contextual support for query generation. We provide details of this task as well as an analysis of a number of retrieval methods that address this task.