Unsupervised models for named entity classification

@misc{col:singer:unsupervised, abstract = {This paper discusses the use of unlabeled examples for the problem of named entity classification. A large number of rules is needed for coverage of the domain, suggesting that a fairly large number of labeled examples should be required to train a classi- tier. However, we show that the use of unlabeled data can reduce the requirements for supervision to just 7 simple "seed" rules. The approach gains leverage from natural redundancy in the data: for many named-entity instances both the...}, author = {Collins, M. and Singer, Y. }, citeulike-article-id = {142705}, keywords = {classification, collins, entity, singer}, posted-at = {2005-10-09 12:57:33}, priority = {3}, title = {Unsupervised models for named entity classification}, url = {http://citeseer.ist.psu.edu/collins99unsupervised.html}, year = {1999} }

TY - GEN ID - col:singer:unsupervised L3 - citeulike-article-id:142705 N2 - This paper discusses the use of unlabeled examples for the problem of named entity classification. A large number of rules is needed for coverage of the domain, suggesting that a fairly large number of labeled examples should be required to train a classi- tier. However, we show that the use of unlabeled data can reduce the requirements for supervision to just 7 simple "seed" rules. The approach gains leverage from natural redundancy in the data: for many named-entity instances both the... TI - Unsupervised models for named entity classification KW - classification KW - collins KW - entity KW - singer AU - Collins, M AU - Singer, Y PY - 1999/// UR - http://citeseer.ist.psu.edu/collins99unsupervised.html ER -