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Get the free Word Sense Disambiguation for XML Structure Feature Generation - uweb deis unical

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This document studies semantic relationships for XML data, proposing a method for word sense disambiguation to enhance semantic features based on structure information. It discusses the role of WordNet
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Word sense disambiguation is a natural language processing task that aims to determine the correct meaning or sense of a word in a given context.
Word sense disambiguation is a technique used by researchers and developers in the field of natural language processing to improve the accuracy of various language-related applications.
To fill out word sense disambiguation, researchers typically use annotated data or machine learning algorithms to train models that can distinguish between different word senses.
The purpose of word sense disambiguation is to resolve the ambiguity that arises from words having multiple meanings, thus improving the accuracy of language understanding and processing tasks.
Word sense disambiguation focuses on providing the correct sense or meaning of a word in a given context, so the reported information would include the word, its different senses, and the context in which it is used.
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