We defined several discrete random variables and made their statistical comparisons between different versions of WordNet, by which the macroscopical evolution of WordNet from 1.6 to 2.0 is explored. And at the same time, the examples of extreme data will be enumerated during the experimental analysis.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000272086200058&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Artificial IntelligenceComputer Science, Information SystemsInformation Science & Library ScienceLinguisticsLanguage & LinguisticsCPCI-S(ISTP)CPCI-SSH(ISSHP)
This archive contains the raw data that ConceptNet 5 is built from. More information about ConceptNe...
Written text is one of the fundamental manifestations of human language, and the study of its univer...
The Web is a very rich source of linguistic data, and in the last few years it has been used very in...
We defined several discrete random variables and made their statistical comparisons between differe...
Lexical databases following the wordnet paradigm capture information about words, word senses, and t...
WordNet is a lexical database that, among other things, arranges English nouns into a hierarchy rank...
Lexical resources are basic components of many text processing system devoted to information extract...
Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics...
This is a landmark book. For anyone interested in language, in dictionaries and thesauri, or natural...
We present statistical analyses of the large-scale structure of three types of semantic networks: wo...
WordNet [Miller, 1990] remains an important resource for natural language processing [Kilgarriff, 20...
In this paper we discuss the experience of bringing together over 40 different wordnets. We introduc...
Natural language is a remarkable example of a complex dynamical system which combines variation and ...
Princeton WordNet is one of the most important resources for natural language processing, but has no...
We choose two versions of WordNet and then select words which appear only in a newer version. For ea...
This archive contains the raw data that ConceptNet 5 is built from. More information about ConceptNe...
Written text is one of the fundamental manifestations of human language, and the study of its univer...
The Web is a very rich source of linguistic data, and in the last few years it has been used very in...
We defined several discrete random variables and made their statistical comparisons between differe...
Lexical databases following the wordnet paradigm capture information about words, word senses, and t...
WordNet is a lexical database that, among other things, arranges English nouns into a hierarchy rank...
Lexical resources are basic components of many text processing system devoted to information extract...
Comunicació presentada a COLING 2016: the 26th International Conference on Computational Linguistics...
This is a landmark book. For anyone interested in language, in dictionaries and thesauri, or natural...
We present statistical analyses of the large-scale structure of three types of semantic networks: wo...
WordNet [Miller, 1990] remains an important resource for natural language processing [Kilgarriff, 20...
In this paper we discuss the experience of bringing together over 40 different wordnets. We introduc...
Natural language is a remarkable example of a complex dynamical system which combines variation and ...
Princeton WordNet is one of the most important resources for natural language processing, but has no...
We choose two versions of WordNet and then select words which appear only in a newer version. For ea...
This archive contains the raw data that ConceptNet 5 is built from. More information about ConceptNe...
Written text is one of the fundamental manifestations of human language, and the study of its univer...
The Web is a very rich source of linguistic data, and in the last few years it has been used very in...