Use of support vector machines in extended named entity recognition

@misc{citeulike:2137746, abstract = {This paper explores the use of Support Vector Machines (SVMs) for an extended named entity task. We investigate the identification and classification of technical terms in the molecular biology domain and contrast this to results obtained for traditional NE recognition on the MUC-6 data set. Furthermore we compare the performance of the SVM model to a standard HMM bigram model. Results show that the SVM utilizing a rich feature set of a \±3 context window and POS features (MUC-6 only) had ...}, author = {Takeuchi, K. and Collier, N. }, citeulike-article-id = {2137746}, keywords = {bionlp, entity, machines, named, recognition, shared, support, svms, task, vector}, posted-at = {2007-12-17 18:08:15}, priority = {2}, title = {Use of support vector machines in extended named entity recognition}, url = {http://citeseer.ist.psu.edu/takeuchi02use.html}, year = {2002} }

TY - GEN ID - citeulike:2137746 L3 - citeulike-article-id:2137746 TI - Use of support vector machines in extended named entity recognition N2 - This paper explores the use of Support Vector Machines (SVMs) for an extended named entity task. We investigate the identification and classification of technical terms in the molecular biology domain and contrast this to results obtained for traditional NE recognition on the MUC-6 data set. Furthermore we compare the performance of the SVM model to a standard HMM bigram model. Results show that the SVM utilizing a rich feature set of a ±3 context window and POS features (MUC-6 only) had ... KW - bionlp KW - entity KW - machines KW - named KW - recognition KW - shared KW - support KW - svms KW - task KW - vector AU - Takeuchi, K AU - Collier, N PY - 2002/// UR - http://citeseer.ist.psu.edu/takeuchi02use.html ER -