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
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Di...
Most word representation methods assume that each word owns a single semantic vec-tor. This is usual...
This paper describes an unsupervised graph-based method for word sense disambiguation, and presents ...
International audienceIn this paper, we develop a new way of creating sense vectors for any dictiona...
18th FLAIRS Conference, Clearwater Beach, Florida, May 15-17, 2005. Retrieved 6/21/2006 from http://...
In this paper, a new high precision focused word sense disambiguation (WSD) approach is proposed, wh...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
This is graph-based word vector representations data for our publication "Word Sense Disambiguation ...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
The success of machine learning approaches to word sense disambiguation (WSD) is largely dependent o...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Di...
Most word representation methods assume that each word owns a single semantic vec-tor. This is usual...
This paper describes an unsupervised graph-based method for word sense disambiguation, and presents ...
International audienceIn this paper, we develop a new way of creating sense vectors for any dictiona...
18th FLAIRS Conference, Clearwater Beach, Florida, May 15-17, 2005. Retrieved 6/21/2006 from http://...
In this paper, a new high precision focused word sense disambiguation (WSD) approach is proposed, wh...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct se...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...