Background: Identification of terms is essential for biomedical text mining.. We concentrate here on the use of vocabularies for term identification, specifically the Unified Medical Language System (UMLS). To make the UMLS more suitable for biomedical text mining we implemented and evaluated nine term rewrite and eight term suppression rules. The rules rely on UMLS properties that have been identified in previous work by others, together with an additional set of new properties discovered by our group during our work with the UMLS. Our work complements the earlier work in that we measure the impact on the number of terms identified by the different rules on a MEDLINE corpus. The number of uniquely identified terms and their frequency in ME...
Gurulingappa H, Klinger R, Hofmann-Apitius M, Fluck J. An Empirical Evaluation of Resources for the ...
AbstractSophisticated information technologies are needed for effective data acquisition and integra...
Background: Like text in other domains, biomedical documents contain a range of terms with more than...
textabstractBackground: Identification of terms is essential for biomedical text mining. We concentr...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
Background: Identification of terms is essential for biomedical text mining. We concentrate here on ...
Background: Identification of terms is essential for biomedical text mining.. We concentrate here on...
Background: Identification of terms is essential for biomedical text mining.. We concentrate here on...
Objectives: To automatically extend downwards an existing biomedical termi-nology using a corpus and...
Objectives: To automatically extend downwards an existing biomedical termi-nology using a corpus and...
AbstractSophisticated information technologies are needed for effective data acquisition and integra...
Gurulingappa H, Klinger R, Hofmann-Apitius M, Fluck J. An Empirical Evaluation of Resources for the ...
AbstractSophisticated information technologies are needed for effective data acquisition and integra...
Background: Like text in other domains, biomedical documents contain a range of terms with more than...
textabstractBackground: Identification of terms is essential for biomedical text mining. We concentr...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
ABSTRACT: BACKGROUND: Identification of terms is essential for biomedical text mining.. We concentra...
Background: Identification of terms is essential for biomedical text mining. We concentrate here on ...
Background: Identification of terms is essential for biomedical text mining.. We concentrate here on...
Background: Identification of terms is essential for biomedical text mining.. We concentrate here on...
Objectives: To automatically extend downwards an existing biomedical termi-nology using a corpus and...
Objectives: To automatically extend downwards an existing biomedical termi-nology using a corpus and...
AbstractSophisticated information technologies are needed for effective data acquisition and integra...
Gurulingappa H, Klinger R, Hofmann-Apitius M, Fluck J. An Empirical Evaluation of Resources for the ...
AbstractSophisticated information technologies are needed for effective data acquisition and integra...
Background: Like text in other domains, biomedical documents contain a range of terms with more than...