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Word sense disambiguation incorporating lexical and structural semantic information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise information from a large treebank and an ...
An implemented description of Japanese : the Lexeed dictionary and the Hinoki treebank
In this paper we describe the current state of a new Japanese lexical resource: the Hinoki treebank. The treebank is built from dictionary definition sentences, and uses an HPSG based Japanese grammar to encode both syntactic ...
Acquiring an ontology for a fundamental vocabulary
In this paper we describe the extraction of thesaurus information from parsed dictionary definition sentences. The main data for our experiments comes from Lexeed, a Japanese semantic dictionary, and the Hinoki treebank ...
The Hinoki treebank : a treebank for text understanding
In this paper we describe the motivation for and construction of a new Japanese lexical resource: the Hinoki treebank. The treebank is ...
MRD-based word sense disambiguation : further extending lesk
This paper reconsiders the task of MRD-based word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact on WSD performance of different tokenisation schemes, scoring mechanisms, methods of ...