Infoxtract location normalization: a hybrid approach to geographic references in information extraction Export

@inproceedings{citeulike:3766184, abstract = {Ambiguity is very high for location names. For example, there are 23 cities named 'Buffalo ' in the U.S. Based on our previous work, this paper presents a refined hybrid approach to geographic references using our information extraction engine InfoXtract. The InfoXtract location normalization module consists of local pattern matching and discourse co-occurrence analysis as well as default senses. Multiple knowledge sources are used in a number of ways: (i) pattern matching driven by local context, (ii) maximum spanning tree search for discourse analysis, and (iii) applying default sense heuristics and extracting default senses from the web. The results are benchmarked with 96 \% accuracy on our test collections that consist of both news articles and tourist guides. The performance contribution for each component of the module is also benchmarked and discussed. 1}, author = {Li, Huifeng and Srihari, Rohini K. and Niu, Cheng and Li, Wei}, booktitle = {Proceedings of the HLT-NAACL 2003 Workshop on Analysis of Geographic References}, citeulike-article-id = {3766184}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.6065}, keywords = {place-names}, pages = {39--44}, posted-at = {2008-12-10 00:11:26}, priority = {2}, title = {Infoxtract location normalization: a hybrid approach to geographic references in information extraction}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.6065}, year = {2003} }

TY - CONF ID - citeulike:3766184 L3 - citeulike-article-id:3766184 N2 - Ambiguity is very high for location names. For example, there are 23 cities named ‘Buffalo ’ in the U.S. Based on our previous work, this paper presents a refined hybrid approach to geographic references using our information extraction engine InfoXtract. The InfoXtract location normalization module consists of local pattern matching and discourse co-occurrence analysis as well as default senses. Multiple knowledge sources are used in a number of ways: (i) pattern matching driven by local context, (ii) maximum spanning tree search for discourse analysis, and (iii) applying default sense heuristics and extracting default senses from the web. The results are benchmarked with 96 % accuracy on our test collections that consist of both news articles and tourist guides. The performance contribution for each component of the module is also benchmarked and discussed. 1 EP - 44 TI - Infoxtract location normalization: a hybrid approach to geographic references in information extraction T2 - Proceedings of the HLT-NAACL 2003 Workshop on Analysis of Geographic References SP - 39 KW - place-names AU - Li, Huifeng AU - Srihari, Rohini AU - Niu, Cheng AU - Li, Wei PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.6065 ER -