This is graph-based word vector representations data for our publication "Word Sense Disambiguation based on Context Selection using Knowledge-based Word Similarity". The data include three files: "Experimental Results", "vector_result_bfs_set_all.zip", and "vector_result_dfs_set_all.zip". The "Experimental Results" contains the experimental results of our model ITSR+SRP_BFS and the golden set on WSD benchmarks: SensEeval-02, SensEeval-03, SemEval-7, SemEval-13, and SemEval-15. The "vector_result_bfs_set_all.zip" (SRP_BFS), and "vector_result_dfs_set_all.zip" (SRP_DFS) are word vector representations extracted from the BabelNet knowledge graph. These vectors were used for the Word Sense Disambiguation (WSD) task in the experiments. You c...
This paper describes an unsupervised graph-based method for word sense disambiguation, and presents ...
Word Sense Disambiguation is an open problem in Natural Language Processing which is particularly ch...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
18th FLAIRS Conference, Clearwater Beach, Florida, May 15-17, 2005. Retrieved 6/21/2006 from http://...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
Most word representation methods assume that each word owns a single semantic vec-tor. This is usual...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Di...
International audienceIn this paper, we develop a new way of creating sense vectors for any dictiona...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
This paper describes an unsupervised graph-based method for word sense disambiguation, and presents ...
Word Sense Disambiguation is an open problem in Natural Language Processing which is particularly ch...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
18th FLAIRS Conference, Clearwater Beach, Florida, May 15-17, 2005. Retrieved 6/21/2006 from http://...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
Most word representation methods assume that each word owns a single semantic vec-tor. This is usual...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Di...
International audienceIn this paper, we develop a new way of creating sense vectors for any dictiona...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
This paper describes an unsupervised graph-based method for word sense disambiguation, and presents ...
Word Sense Disambiguation is an open problem in Natural Language Processing which is particularly ch...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...