Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Subtopic structuring for full-length document access
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Effective ranking with arbitrary passages
Journal of the American Society for Information Science and Technology
Text Segmentation for Efficient Information Retrieval
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
IR-n: A Passage Retrieval System at CLEF-2001
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Biased LexRank: Passage retrieval using random walks with question-based priors
Information Processing and Management: an International Journal
Adapting the JIRS Passage Retrieval System to the Arabic Language
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Personalized text snippet extraction using statistical language models
Pattern Recognition
Simple is best: experiments with different document segmentation strategies for passage retrieval
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
Document retrieval in the context of question answering
ECIR'03 Proceedings of the 25th European conference on IR research
Using AliQAn in monolingual QA@CLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Improving question answering using named entity recognition
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Combining sources of evidence for recognition of relevant passages in texts
ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
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Open-Domain Question Answering systems (QA) performs the task of detecting text fragments in a collection of documents that contain the response to user's queries. These systems use high complexity tools that reduce its applicability to the treatment of small amounts of text. Consequently, when working on large document collections, QA systems apply Information Retrieval (IR) techniques to reduce drastically text collections to a tractable quantity of relevant text. In this paper, we propose a novel Passage Retrieval (PR) model that performs this task with better performance for QA purposes than current best IR systems