Mar 2, 2016 · This paper explores the application of structured learning methods (SLMs) to word sense disambiguation (WSD). On one hand, the semantic ...
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Abstract: This paper explores the application of structured learning methods (SLMs) to word sense disambiguation (WSD). On one hand, the semantic ...
Return to Article Details Word Sense Disambiguation: A Structured Learning Perspective Download Download PDF.
Regardless of whether or not learning is involved, the prevailing evaluation methodology requires correct test sets in order to rigorously assess the quality of ...
First, we provide a complete evaluation framework for all-words Word Sense Disambiguation overcom- ing all the aforementioned limitations by (1) stan- dardizing ...
The word sense disambiguation (WSD) task aims at identifying the meaning of words in a given context for specific words conveying multiple meanings.
The task of Word Sense Disambiguation (WSD) consists of associating words in context with their most suitable entry in a pre-defined sense inventory.
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Oct 22, 2024 · The process of assigning the correct meaning to a word with respect to its context is known as Word-Sense Disambiguation (WSD). It is a hard ...
This task can be structured as a supervised learning problem where the availability of an annotated training-set is assumed or as an unsupervised learning ...
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Nov 23, 2024 · This article proposes a bi-encoder word sense disambiguation method combining a knowledge graph and text hierarchy structure.
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