Beyond genes, proteins, and abstracts: Identifying scientific claims from full-text biomedical articles
نویسندگان
چکیده
منابع مشابه
Identifying Comparative Claim Sentences in Full-Text Scientific Articles
Comparisons play a critical role in scientific communication by allowing an author to situate their work in the context of earlier research problems, experimental approaches, and results. Our goal is to identify comparison claims automatically from full-text scientific articles. In this paper, we introduce a set of semantic and syntactic features that characterize a sentence and then demonstrat...
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Molecular biology and literature databases represent essential infrastructure for life science research. Effective integration of these data resources requires that there are structured cross-references at the level of individual articles and biological records. Here, we describe the current patterns of how database entries are cited in research articles, based on analysis of the full text Open...
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Increasingly, as full-text scientific papers are becoming available, scientific queries have shifted from looking for facts to looking for arguments. Researchers want to know when their colleagues are proposing theories, outlining evidentiary relations, or explaining discrepancies. We show here that sentence-level annotation with the CISP schema adapts well to a corpus of biomedical articles, a...
متن کاملDistribution of information in biomedical abstracts and full-text publications
MOTIVATION Full-text documents potentially hold more information than their abstracts, but require more resources for processing. We investigated the added value of full text over abstracts in terms of information content and occurrences of gene symbol--gene name combinations that can resolve gene-symbol ambiguity. RESULTS We analyzed a set of 3902 biomedical full-text articles. Different key...
متن کاملExtracting Core Claims from Scientific Articles
The number of scientific articles has grown rapidly over the years and there are no signs that this growth will slow down in the near future. Because of this, it becomes increasingly difficult to keep up with the latest developments in a scientific field. To address this problem, we present here an approach to help researchers learn about the latest developments and findings by extracting in a ...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2010
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2009.11.001