Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
What's yours and what's mine: determining intellectual attribution in scientific text
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Logical document conversion: combining functional and formal knowledge
Proceedings of the 2007 ACM symposium on Document engineering
The SWAN biomedical discourse ontology
Journal of Biomedical Informatics
NLPIR4DL '09 Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries
Journal of Biomedical Informatics
Coherent citation-based summarization of scientific papers
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
Facilitating the analysis of discourse phenomena in an interoperable NLP platform
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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Key knowledge components of biological research papers are conveyed by structurally and rhetorically salient sentences that summarize the main findings of a particular experiment. In this article we define such sentences as Claimed Knowledge Updates (CKUs), and propose using them in text mining tasks. We provide evidence that CKUs convey the most important new factual information, and thus demonstrate that rhetorical salience is a systematic discourse structure indicator in biology articles along with structural salience. We assume that CKUs can be detected automatically with state-of-the-art text analysis tools, and suggest some applications for presenting CKUs in knowledge bases and scientific browsing interfaces.