A framework for named entity recognition in the open domain Export

@inproceedings{citeulike:4061465, abstract = {In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be appropriate for Information Extraction in any scenario context. The recognition task is performed by identifying normally capitalised phrases in a document and then submitting queries to a search engine to find potential hypernyms of the capitalised sequences. These hypernyms are then clustered to derive a typology of named entities for the document. The hypernyms of the normally capitalised phrases are used to classify them with respect to this typology. The method is tested on a small corpus and its classifications are evaluated. Finally, conclusions are drawn and future work considered. 1}, author = {Evans, Richard}, booktitle = {In Proceedings of the Recent Advances in Natural Language Processing (RANLP}, citeulike-article-id = {4061465}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.7150}, keywords = {ner, nlp}, pages = {137--144}, posted-at = {2009-09-26 23:19:24}, priority = {2}, title = {A framework for named entity recognition in the open domain}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.7150}, year = {2003} }

TY - CONF ID - citeulike:4061465 L3 - citeulike-article-id:4061465 N2 - In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be appropriate for Information Extraction in any scenario context. The recognition task is performed by identifying normally capitalised phrases in a document and then submitting queries to a search engine to find potential hypernyms of the capitalised sequences. These hypernyms are then clustered to derive a typology of named entities for the document. The hypernyms of the normally capitalised phrases are used to classify them with respect to this typology. The method is tested on a small corpus and its classifications are evaluated. Finally, conclusions are drawn and future work considered. 1 EP - 144 TI - A framework for named entity recognition in the open domain T2 - In Proceedings of the Recent Advances in Natural Language Processing (RANLP SP - 137 KW - ner KW - nlp AU - Evans, Richard PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.7150 ER -