Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity Export

@incollection{citeulike:1366689, abstract = {In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers. Second, the system can handle more than the three classical named-entity types (person, location, and organization). We describe the system's architecture and compare its performance with a supervised system. We experimentally evaluate the system on a standard corpus, with the three classical named-entity types, and also on a new corpus, with a new named-entity type (car brands).}, author = {Nadeau, David and Turney, Peter and Matwin, Stan}, citeulike-article-id = {1366689}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11766247_23}, citeulike-linkout-1 = {http://www.springerlink.com/content/t342540jv32v55w6}, doi = {10.1007/11766247_23}, journal = {Advances in Artificial Intelligence}, keywords = {disambiguation, gazetteers}, pages = {266--277}, posted-at = {2008-02-09 14:31:18}, priority = {2}, title = {Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity}, url = {http://dx.doi.org/10.1007/11766247_23}, year = {2006} }

TY - CHAP ID - citeulike:1366689 L3 - citeulike-article-id:1366689 N2 - In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers. Second, the system can handle more than the three classical named-entity types (person, location, and organization). We describe the system’s architecture and compare its performance with a supervised system. We experimentally evaluate the system on a standard corpus, with the three classical named-entity types, and also on a new corpus, with a new named-entity type (car brands). JF - Advances in Artificial Intelligence EP - 277 TI - Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity SP - 266 KW - disambiguation KW - gazetteers AU - Nadeau, David AU - Turney, Peter AU - Matwin, Stan PY - 2006/// UR - http://dx.doi.org/10.1007/11766247_23 ER -