A text-mining system for extracting metabolic reactions from full-text articles
نویسندگان
چکیده
منابع مشابه
Extracting Characteristics of the Study Subjects from Full-Text Articles
Characteristics of the subjects of biomedical research are important in determining if a publication describing the research is relevant to a search. To facilitate finding relevant publications, MEDLINE citations provide Medical Subject Headings that describe the subjects' characteristics, such as their species, gender, and age. We seek to improve the recommendation of these headings by the Med...
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Background and aim: Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery. Methodology: The study is an analytical review of the literature of text mining and topic modeling. Findings: LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text min...
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The breadth and depth of biomedical literature are increasing year upon year. To keep abreast of these increases, FlyBase, a database for Drosophila genomic and genetic information, is constantly exploring new ways to mine the published literature to increase the efficiency and accuracy of manual curation and to automate some aspects, such as triaging and entity extraction. Toward this end, we ...
متن کاملIdentification of Important Text in Full Text Articles Using Summarization
Other research has shown that although the abstract is more information dense, the full text of a scientific article in the biomedical domain has much greater information content.1 We know from observing indexers and studying their indexing process that some of the assigned MeSH concepts do not appear in the abstract. The indexing manual also dictates that the abstract should not be used during...
متن کاملRetrieving Hierarchical Text Structure from Typeset Scientific Articles – a Prerequisite for E-Science Text Mining
Despite the growth and development of the web in scientific publishing, there remain significant obstacles to the application of computer based text processing technologies. One obvious obstacle is the relative paucity of freely and publicly available full-text articles. Such obstacles have resulted in a large concentration of text processing research on the relatively small amount of suitable ...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2012
ISSN: 1471-2105
DOI: 10.1186/1471-2105-13-172