“Beijing Frowns and Washington Pays Close Attention” Computer Processing of Relations between Geographical Proper Names in Foreign Affairs
Identifieur interne : 000322 ( Main/Merge ); précédent : 000321; suivant : 000323“Beijing Frowns and Washington Pays Close Attention” Computer Processing of Relations between Geographical Proper Names in Foreign Affairs
Auteurs : Odile Piton [France] ; Denis Maurel [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: We present results of the project Prolex. The aim of the project is the automated analysis of proper names, especially a description of relations between different proper names in a text. The system currently works with geographical proper names (place names, derived adjectives and names of inhabitants) in French. It consists of a database containing specific types of proper names and relations between the different names. Using these names and relations, the program can group the proper names appearing in a text that may belong together (such as Beijing-Chinese-Pekinese-China; American-United States-Washington). This is done by constructing an association matrix between them and by computing the transitive closure of this Boolean matrix. The method is explained with an example.
Url:
DOI: 10.1007/3-540-45399-7_6
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<front><div type="abstract" xml:lang="en">Abstract: We present results of the project Prolex. The aim of the project is the automated analysis of proper names, especially a description of relations between different proper names in a text. The system currently works with geographical proper names (place names, derived adjectives and names of inhabitants) in French. It consists of a database containing specific types of proper names and relations between the different names. Using these names and relations, the program can group the proper names appearing in a text that may belong together (such as Beijing-Chinese-Pekinese-China; American-United States-Washington). This is done by constructing an association matrix between them and by computing the transitive closure of this Boolean matrix. The method is explained with an example.</div>
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