%0 Conference Paper %1 magnini02ner %A Magnini, Bernardo %A Negri, Matteo %A Prevete, Roberto %A Tanev, Hristo %B COLING-02 on SEMANET %C Morristown, NJ, USA %D 2002 %I Association for Computational Linguistics %K 2002 COLING-02 named-entity ner nlp recognition text-mining wordnet %P 1--7 %R http://dx.doi.org/10.3115/1118735.1118744 %T A WordNet-based approach to Named Entities recognition %U http://portal.acm.org/citation.cfm?id=1118744 %X This paper presents a Named Entities (NE) recognition system for the English written language, which combines the wealth of the WordNet taxonomy and the effectiveness of traditional rule-based approaches. The core of the system relies on the combination of approximately 200 language-dependent rules with a set of predicates, defined on the WordNet hierarchy, for the identification of both proper nouns and trigger words. The strengths of this approach are twofold. First, the use of a semantic network allows it to cope with the difficulty of building and maintaining extensive gazetteers. Second, considering the recent spread of WordNet-like semantic networks for languages other than English and aligned with the English version, the use of language-independent predicates offers a useful basis for achieving multilinguality.

@inproceedings{magnini02ner, abstract = {This paper presents a Named Entities (NE) recognition system for the English written language, which combines the wealth of the WordNet taxonomy and the effectiveness of traditional rule-based approaches. The core of the system relies on the combination of approximately 200 language-dependent rules with a set of predicates, defined on the WordNet hierarchy, for the identification of both proper nouns and trigger words. The strengths of this approach are twofold. First, the use of a semantic network allows it to cope with the difficulty of building and maintaining extensive gazetteers. Second, considering the recent spread of WordNet-like semantic networks for languages other than English and aligned with the English version, the use of language-independent predicates offers a useful basis for achieving multilinguality.}, added-at = {2007-07-23T13:24:51.000+0200}, address = {Morristown, NJ, USA}, author = {Magnini, Bernardo and Negri, Matteo and Prevete, Roberto and Tanev, Hristo}, biburl = {https://www.bibsonomy.org/bibtex/2fd67c961069a5850b6a1726e003c023e/zeno}, booktitle = {COLING-02 on SEMANET}, description = {A WordNet-based approach to Named Entities recognition}, doi = {http://dx.doi.org/10.3115/1118735.1118744}, ee = {http://portal.acm.org/citation.cfm?id=1118744}, interhash = {99fda915bf279f9506998746b91f1dd7}, intrahash = {fd67c961069a5850b6a1726e003c023e}, keywords = {2002 COLING-02 named-entity ner nlp recognition text-mining wordnet}, pages = {1--7}, publisher = {Association for Computational Linguistics}, timestamp = {2007-07-23T14:07:39.000+0200}, title = {A WordNet-based approach to Named Entities recognition}, url = {http://portal.acm.org/citation.cfm?id=1118744}, year = 2002 }