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Location normalization for information extraction

Authors:

Huifeng Li,

Rohini K. Srihari,

Cheng Niu,

Wei LiAuthors Info & Claims

COLING '02: Proceedings of the 19th international conference on Computational linguistics - Volume 1

Pages 1 - 7

https://doi.org/10.3115/1072228.1072355

Published: 24 August 2002 Publication History

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Abstract

Ambiguity is very high for location names. For example, there are 23 cities named 'Buffalo' in the U.S. Country names such as 'Canada', 'Brazil' and 'China' are also city names in the USA. Almost every city has a Main Street or Broadway. Such ambiguity needs to be handled before we can refer to location names for visualization of related extracted events. This paper presents a hybrid approach for location normalization which combines (i) lexical grammar driven by local context constraints, (ii) graph search for maximum spanning tree and (iii) integration of semi-automatically derived default senses. The focus is on resolving ambiguities for the following types of location names: island, town, city, province, and country. The results are promising with 93.8% accuracy on our test collections.

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Cited By

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Monteiro BDavis CFonseca F(2016)A survey on the geographic scope of textual documentsComputers & Geosciences10.1016/j.cageo.2016.07.01796:C(23-34)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.cageo.2016.07.017
Ji RGao YLiu WXie XTian QLi X(2015)When Location Meets Social MultimediaACM Transactions on Intelligent Systems and Technology10.1145/25971816:1(1-18)Online publication date: 26-Mar-2015
https://dl.acm.org/doi/10.1145/2597181
Liu FVasardani MBaldwin TAhlers DWilde EMartins B(2014)Automatic Identification of Locative Expressions from Social Media TextProceedings of the 4th International Workshop on Location and the Web10.1145/2663713.2664426(9-16)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2663713.2664426
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Location normalization for information extraction
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COLING '02: Proceedings of the 19th international conference on Computational linguistics - Volume 1

August 2002

1184 pages

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Association for Computational Linguistics

United States

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Published: 24 August 2002

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Monteiro BDavis CFonseca F(2016)A survey on the geographic scope of textual documentsComputers & Geosciences10.1016/j.cageo.2016.07.01796:C(23-34)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.cageo.2016.07.017
Ji RGao YLiu WXie XTian QLi X(2015)When Location Meets Social MultimediaACM Transactions on Intelligent Systems and Technology10.1145/25971816:1(1-18)Online publication date: 26-Mar-2015
https://dl.acm.org/doi/10.1145/2597181
Liu FVasardani MBaldwin TAhlers DWilde EMartins B(2014)Automatic Identification of Locative Expressions from Social Media TextProceedings of the 4th International Workshop on Location and the Web10.1145/2663713.2664426(9-16)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2663713.2664426
Choi SSong HPark SLee S(2014)A POI Categorization by Composition of Onomastic and Contextual InformationProceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0210.1109/WI-IAT.2014.78(38-45)Online publication date: 11-Aug-2014
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Garrido ABuey MIlarri SMena E(2013)GEO-NASSProceedings of the 17th East European Conference on Advances in Databases and Information Systems - Volume 813310.1007/978-3-642-40683-6_5(56-69)Online publication date: 1-Sep-2013
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Liu XZhou MWei FFu ZZhou XLi HLin COsborne M(2012)Joint inference of named entity recognition and normalization for tweetsProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 110.5555/2390524.2390598(526-535)Online publication date: 8-Jul-2012
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Strötgen JGertz MBoughida KHoward BNelson MVan de Sompel HSølvberg I(2012)Event-centric search and exploration in document collectionsProceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries10.1145/2232817.2232859(223-232)Online publication date: 10-Jun-2012
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Qin TXiao RFang LXie XZhang LAgrawal DZhang PAbbadi AMokbel M(2010)An efficient location extraction algorithm by leveraging web contextual informationProceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/1869790.1869801(53-60)Online publication date: 2-Nov-2010
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Strötgen JGertz MPopov PPurves RClough PJones C(2010)Extraction and exploration of spatio-temporal information in documentsProceedings of the 6th Workshop on Geographic Information Retrieval10.1145/1722080.1722101(1-8)Online publication date: 18-Feb-2010
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Abrol SKhan LPurves RClough PJones C(2010)TWinnerProceedings of the 6th Workshop on Geographic Information Retrieval10.1145/1722080.1722093(1-8)Online publication date: 18-Feb-2010
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Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging

Learning for information extraction: from named entity recognition and disambiguation to relation extraction

Optimizing information extraction programs over evolving text

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