Cicurel L, Bloehdorn S, Cimiano P. Clustering of Polysemic Words. In: Decker R, Lenz H-J, eds. Advances in Data Analysis: Proceedings of the 30th Annual Conference of the German Classification Society (GfKl). Studies in Classification, Data Analysis, and Knowledge Organization. Berlin, Heidelberg, New York: Springer; 2007: 595-602
Discovering synonyms and other related words among the words in a document collection can be seen as...
Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, cel...
We describe and experimentally evaluate a method for automatically clustering words according to the...
Croft (2001) argues that distributional analysis of word classes is doomed to failure because there ...
This paper presents a methodology to identify polysemous German prepositions by exploring their vect...
This article presents a comparison of different Word Sense Induction (wsi) clustering algorithms on ...
Cimiano P, Hotho A, Staab S. Comparing Conceptual, Divise and Agglomerative Clustering for Learning ...
The purpose of this study is to identify and examine maximum-size polysemy clusters in semantic hier...
It has been shown that while multiple unrelated meanings of a word (e.g. bank) increase processing l...
Previous research has demonstrated the utility of clustering in inducing semantic verb classes fro...
In this paper we present a novel clustering technique for compound words. By mapping compounds onto ...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
International audienceIn this paper we report the results of four experiments conducted to extract l...
Thesis (Master's)--University of Washington, 2012This thesis describes a system which clusters the w...
Pelemans J., Van hamme H., Wambacq P., ''Translation-based word clustering for language models'', Bo...
Discovering synonyms and other related words among the words in a document collection can be seen as...
Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, cel...
We describe and experimentally evaluate a method for automatically clustering words according to the...
Croft (2001) argues that distributional analysis of word classes is doomed to failure because there ...
This paper presents a methodology to identify polysemous German prepositions by exploring their vect...
This article presents a comparison of different Word Sense Induction (wsi) clustering algorithms on ...
Cimiano P, Hotho A, Staab S. Comparing Conceptual, Divise and Agglomerative Clustering for Learning ...
The purpose of this study is to identify and examine maximum-size polysemy clusters in semantic hier...
It has been shown that while multiple unrelated meanings of a word (e.g. bank) increase processing l...
Previous research has demonstrated the utility of clustering in inducing semantic verb classes fro...
In this paper we present a novel clustering technique for compound words. By mapping compounds onto ...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
International audienceIn this paper we report the results of four experiments conducted to extract l...
Thesis (Master's)--University of Washington, 2012This thesis describes a system which clusters the w...
Pelemans J., Van hamme H., Wambacq P., ''Translation-based word clustering for language models'', Bo...
Discovering synonyms and other related words among the words in a document collection can be seen as...
Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, cel...
We describe and experimentally evaluate a method for automatically clustering words according to the...