| Autor: |
Rinaldi F; Institute of Computational Linguistics, Binzmuhlestrasse 171, 8050 Zurich, Switzerland. fabio.rinaldi@uzh.ch, Clematide S, Garten Y, Whirl-Carrillo M, Gong L, Hebert JM, Sangkuhl K, Thorn CF, Klein TE, Altman RB |
| Jazyk: |
angličtina |
| Zdroj: |
Database : the journal of biological databases and curation [Database (Oxford)] 2012 Apr 23; Vol. 2012, pp. bas021. Date of Electronic Publication: 2012 Apr 23 (Print Publication: 2012). |
| DOI: |
10.1093/database/bas021 |
| Abstrakt: |
The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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