Biomedical Relation Extraction: From Binary to Complex
نویسندگان
چکیده
منابع مشابه
Biomedical Relation Extraction: From Binary to Complex
Biomedical relation extraction aims to uncover high-quality relations from life science literature with high accuracy and efficiency. Early biomedical relation extraction tasks focused on capturing binary relations, such as protein-protein interactions, which are crucial for virtually every process in a living cell. Information about these interactions provides the foundations for new therapeut...
متن کاملReview Article Biomedical Relation Extraction: From Binary to Complex
Biomedical relation extraction aims to uncover high-quality relations from life science literature with high accuracy and efficiency. Early biomedical relation extraction tasks focused on capturing binary relations, such as protein-protein interactions, which are crucial for virtually every process in a living cell. Information about these interactions provides the foundations for new therapeut...
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This paper proposes a ternary relation extraction method primarily based on rich syntactic information. We identify PROTEIN-ORGANISM-LOCATION relations in the text of biomedical articles. Different kernel functions are used with an SVM learner to integrate two sources of information from syntactic parse trees: (i) a large number of syntactic features that have been shown useful for Semantic Rol...
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This thesis addresses the problem of named entity recognition and the problem of relation extraction from biomedical text corpora. Named entity recognition (NER) and relation extraction (RE) are two important subtasks of information extraction. The problem of entity identification from biomedical text corpora has been found to be much harder than the identification of entities in areas such as ...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2014
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2014/298473