Exploiting web search to generate synonyms for entities Export

@inproceedings{citeulike:4390040, abstract = {Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to these tasks assume the existence of reference entity tables. An important challenge that needs to be addressed in the entity extraction task is that of ascertaining whether or not a candidate string approximately matches with a named entity in a given reference table.}, address = {New York, NY, USA}, author = {Chaudhuri, Surajit and Ganti, Venkatesh and Xin, Dong}, booktitle = {WWW '09: Proceedings of the 18th international conference on World wide web}, citeulike-article-id = {4390040}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1526709.1526731}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1526709.1526731}, comment = {[Talk] Given a list of entity names, and a set of documents => find which documents mention which entities (fuzzy match). Application domain is product titles. Exploiting web to identify synonyms using correlation analysis. Search the web first to get related pages, use their snippets to verify if a subset of tokens (e.g.: nc6220) is a synonym of a product name (hp compaq nc6220). Monotonicity property across subsets of tokens.}, doi = {10.1145/1526709.1526731}, isbn = {978-1-60558-487-4}, keywords = {similarity, text}, location = {Madrid, Spain}, pages = {151--160}, posted-at = {2009-04-24 10:57:26}, priority = {0}, publisher = {ACM}, title = {Exploiting web search to generate synonyms for entities}, url = {http://dx.doi.org/10.1145/1526709.1526731}, year = {2009} }

TY - CONF ID - citeulike:4390040 L3 - citeulike-article-id:4390040 N2 - Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to these tasks assume the existence of reference entity tables. An important challenge that needs to be addressed in the entity extraction task is that of ascertaining whether or not a candidate string approximately matches with a named entity in a given reference table. CY - Madrid, Spain SN - 978-1-60558-487-4 AD - New York, NY, USA EP - 160 TI - Exploiting web search to generate synonyms for entities PB - ACM T2 - WWW '09: Proceedings of the 18th international conference on World wide web SP - 151 KW - similarity KW - text N1 - [Talk] Given a list of entity names, and a set of documents => find which documents mention which entities (fuzzy match). Application domain is product titles. Exploiting web to identify synonyms using correlation analysis. Search the web first to get related pages, use their snippets to verify if a subset of tokens (e.g.: nc6220) is a synonym of a product name (hp compaq nc6220). Monotonicity property across subsets of tokens. AU - Chaudhuri, Surajit AU - Ganti, Venkatesh AU - Xin, Dong PY - 2009/// UR - http://dx.doi.org/10.1145/1526709.1526731 ER -