Improving text classification by shrinkage in a hierarchy of classes Export

@misc{citeulike:899534, abstract = {When documents are organized in a large number of topic categories, the categories are often arranged in a hierarchy. The U.S. patent database and Yahoo are two examples.}, author = {Mccallum, A. and Rosenfeld, R. and Mitchell, T. and Ng, A.}, citeulike-article-id = {899534}, citeulike-linkout-0 = {http://citeseer.ist.psu.edu/mccallum98improving.html}, citeulike-linkout-1 = {http://citeseer.lcs.mit.edu/mccallum98improving.html}, citeulike-linkout-2 = {http://citeseer.ifi.unizh.ch/mccallum98improving.html}, citeulike-linkout-3 = {http://citeseer.comp.nus.edu.sg/mccallum98improving.html}, keywords = {classification, hierarchy, nlp, statistics, topic}, posted-at = {2007-02-01 09:24:42}, priority = {0}, title = {Improving text classification by shrinkage in a hierarchy of classes}, url = {http://citeseer.ist.psu.edu/mccallum98improving.html}, year = {1998} }

TY - GEN ID - citeulike:899534 L3 - citeulike-article-id:899534 N2 - When documents are organized in a large number of topic categories, the categories are often arranged in a hierarchy. The U.S. patent database and Yahoo are two examples. TI - Improving text classification by shrinkage in a hierarchy of classes KW - classification KW - hierarchy KW - nlp KW - statistics KW - topic AU - Mccallum, A AU - Rosenfeld, R AU - Mitchell, T AU - Ng, A PY - 1998/// UR - http://citeseer.ist.psu.edu/mccallum98improving.html ER -