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A Game-Theoretic Approach to Word Sense Disambiguation
Word Sense Disambiguation Game-Theoretic
2017/4/6
This article presents a new model for word sense disambiguation formulated in terms of evolutionary
game theory, where each word to be disambiguated is represented as a node on a graph
whose edges r...
Word Sense Disambiguation (WSD) systems automatically choose the intended meaning of a
word in context. In this article we present a WSD algorithm based on random walks over large
Lexical Knowledge ...
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Word Sense Disambiguation Noisy Channel Model
2015/9/8
We introduce a generative probabilistic model, the noisy channel model, for unsupervised word
sense disambiguation. In our model, each context C is modeled as a distinct channel through
which the sp...
Combining Heterogeneous Classifiers for Word-Sense Disambiguation
Heterogeneous Classifiers Word-Sense Disambiguation
2015/6/12
This paper discusses ensembles of simple but heterogeneous classifiers for word-sense disambiguation, examining the Stanford-CS224N system entered in the SENSEVAL-2 English lexical sample task. First-...