@inproceedings{75bcd52e854d44568a0e0be39c707f12,
title = "Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature",
abstract = "This paper presents a study of incorporating domain-specific knowledge (i.e., information about concepts and relationships between concepts in a certain domain) in an information retrieval (IR) system to improve its effectiveness in retrieving biomedical literature. The effects of different types of domain-specific knowledge in performance contribution are examined. Based on the TREC platform, we show that appropriate use of domain-specific knowledge in a proposed conceptual retrieval model yields about 23% improvement over the best reported result in passage retrieval in the Genomics Track of TREC 2006.",
keywords = "Biomedical documents, Document retrieval, Passage extraction",
author = "Wei Zhou and Clement Yu and Neil Smalheiser and Vetle Torvik and Jie Hong",
year = "2007",
doi = "10.1145/1277741.1277853",
language = "English (US)",
isbn = "1595935975",
series = "Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07",
pages = "655--662",
booktitle = "Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07",
note = "30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 ; Conference date: 23-07-2007 Through 27-07-2007",
}