Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data

@misc{citeulike:2137707, abstract = {A pervasive problem facing many biomedical text mining applications is that of correctly associating mentions of entities in the literature with corresponding concepts in a database or ontology. Attempts to build systems for automating this process have shown promise as demonstrated by the recent BioCreAtIvE Task 1B evaluation. A significant obstacle to improved performance for this task, however, is a lack of high quality training data. In this work, we explore methods for...}, author = {Wellner, Ben }, citeulike-article-id = {2137707}, keywords = {bionlp, gene, normalization, semi-supervised}, posted-at = {2007-12-17 17:51:03}, priority = {2}, title = {Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data}, url = {http://citeseer.ist.psu.edu/734343.html}, year = {2005} }

TY - GEN ID - citeulike:2137707 L3 - citeulike-article-id:2137707 N2 - A pervasive problem facing many biomedical text mining applications is that of correctly associating mentions of entities in the literature with corresponding concepts in a database or ontology. Attempts to build systems for automating this process have shown promise as demonstrated by the recent BioCreAtIvE Task 1B evaluation. A significant obstacle to improved performance for this task, however, is a lack of high quality training data. In this work, we explore methods for... TI - Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data KW - bionlp KW - gene KW - normalization KW - semi-supervised AU - Wellner, Ben PY - 2005/// UR - http://citeseer.ist.psu.edu/734343.html ER -