The application of Word Sense Disambiguation involves the area of Information Retrieval, Question Answering systems, Chat-bots, etc. Word Sense Disambiguation (WSD) is a subtask of Natural Language Processing that deals with the problem of identifying the correct sense of a word in context.
Apr 21, 2023
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The majority of search engines obviate the different meanings of the words used in the searching process. Introducing meanings in this process could improve ...
WITHDRAWN: Word sense disambiguation and the semantic internet search ... This article has been withdrawn consistent with Elsevier Policy on Article Withdrawal ( ...
[0046] According to an embodiment, the search engine 20 includes a word sense disambiguation module 32 for processing words in an input document or a query into ...
Word sense disambiguation (WSD) task aims to find the exact sense of an ambiguous word in a particular context. It is crucial for many applications, including ...
This paper presents a novel WSD method to find the correct sense of a word present in a sentence. The proposed method uses both the WordNet lexical dictionary ...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a compu- tational manner. WSD is considered an AI-complete ...
The first book to cover all aspects of word sense disambiguation · Contains contributions by leading researchers in the field.
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined ...
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context.