Apr 21, 2018 � Hessami et al. proposed an approach [31] which uses the notion of trees and graphs of co-occurrence. They use WordNet as an external resource to�...
Jul 7, 2024 � PDF | Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner.
Weaver, W.: Translation. � Brill, E.: Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging.
We present an algorithm for automatic word sense disambiguation ba.sed on lexical knowl edge contained in WordNet and on the results.
Accurate assignment of meaning to a word based on its context, known as Word Sense Disambiguation (WSD), remains challenging across languages. Extensive�...
Feb 16, 2021 � Wiktionary has previously been used as a re- source for WSD research. Most work has investi- gated mapping Wiktionary senses onto WordNet.
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An algorithm is presented for automatic word sense disambiguation based on lexical knowledge contained in WordNet and on the results of surface-syntactic�...
Missing: Wiktionary- | Show results with:Wiktionary-
To disambiguate the words it measures the semantic similarity of the words glosses. The similarity is calculated using the SynPath algorithm. Its essence is the�...
Missing: Wiktionary- | Show results with:Wiktionary-
Mar 6, 2020 � Bibliographic details on WordNet and Wiktionary-Based Approach for Word Sense Disambiguation.
An unsupervised method for word sense disambiguation. Abstract. Word sense disambiguation (WSD) finds the actual meaning of a word according to its context.