UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Gene name identification and normalization using a model organism database
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Comparing citation contexts for information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Using terms from citations for IR: some first results
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Parsing citations in biomedical articles using conditional random fields
Computers in Biology and Medicine
Citation based summarisation of legal texts
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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Citations have great potential to be a valuable resource in mining the bioscience literature (Nakov et al., 2004). The text around citations (or citances) tends to state biological facts with reference to the original papers that discovered them. The cited facts are typically stated in a more concise way in the citing papers than in the original. We hypothesize that in many cases, as time goes by, the citation sentences can more accurately indicate the most important contributions of a paper than its original abstract.