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Modified lesk algorithm for word sense disambiguation in Bengali
This article presents a novel approach towards solving the problem of Word Sense Disambiguation (WSD) for Bengali Text. The algorithm used in this...
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A dataset for evaluating Bengali word sense disambiguation techniques
The computation of natural language enables a suitable transmission through the universe by retrieving the correct sense of each word. A word may be...
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Advances Toward Word-Sense Disambiguation
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 problem... -
Discrete Student Psychology Optimization Algorithm for the Word Sense Disambiguation Problem
Word Sense Disambiguation (WSD) is a key step for many natural language processing tasks such as information search, automatic translation, and...
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Assessing American presidential candidates using principles of ontological engineering, word sense disambiguation, data envelope analysis and qualitative comparative analysis
Word sense disambiguation (WSD) is the process of automatically identifying which the appropriate meaning of a word given in its sentence. WSD is a...
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Word Sense Disambiguation: Adaptive Word Embedding with Adaptive-Lexical Resource
Word sense disambiguation (WSD) is a subdomain of natural language processing (NLP). WSD mainly deals with identifying the correct sense of ambiguous... -
A Survey of Different Approaches for Word Sense Disambiguation
Analysis of textual data helps to understand the perception of people by studying the various senses of words in the text. The sense of a polysemous... -
An Approach to Bodo Word Sense Disambiguation (WSD) Using Word2Vec
Natural language processing (NLP) is one of the most popular proliferating research fields nowadays in artificial intelligence and machine learning.... -
Word Sense Disambiguation in the Biomedical Domain: Short Literature Review
Word Sense Disambiguation (WSD) is a subfield of Natural Language Processing that discerns which meaning of a given term is used in a specific... -
Word Sense Disambiguation Based on Graph and Knowledge Base
Word sense disambiguation determines the specific meaning of ambiguous words according to their specific context, a basic research in the field of... -
Word Sense Disambiguation System for Information Retrieval in Telugu Language
Nowadays, In Natural Language Processing (NLP), using artificial intelligence is a open challenge. Word Sense Disambiguation (WSD) is a sub field of... -
Resolving Lexical Level Ambiguity: Word Sense Disambiguation for Telugu Language by Exploiting IndicBERT Embeddings
Generally, acquiring proper interpretation of a word or a sentence in a particular context is very important in many natural language applications... -
Word Sense Disambiguation for Indian Regional Language Using BERT Model
In many languages, multiple ambiguous words can be present, which can have different meanings depending on the context in which they are used. Such... -
A Comparative Study of Deep Learning Models for Word-Sense Disambiguation
Word-sense disambiguation (WSD) has been a persistent issue since its introduction to the community of natural language processing (NLP). It has a... -
Combining Bert Representation and POS Tagger for Arabic Word Sense Disambiguation
In this paper, we address the problem of Word Sense Disambiguation of Arabic language where the objective is to determine an ambiguous word’s... -
Approach Toward Word Sense Disambiguation for the English-To-Sanskrit Language Using Naïve Bayesian Classification
Natural language processing (NLP) refers to the ability of a computer program capacity to understand both spoken and written human languages. Word... -
An Empirical Framework for Bangla Word Sense Disambiguation Using Statistical Approach
Recently, word sense disambiguation has gained increased attention by NLP practitioner due to its various potential applications in language... -
A Hybrid Approach for Sentiment Analysis Using Game Theory in Word Sense Disambiguation
This study explores the use of Evolutionary Game Theory (EGT) for the task of sentiment analysis. The proposed approach involves the use of EGT... -
A Detailed Analysis of Word Sense Disambiguation Algorithms and Approaches for Indian Languages
Word sense disambiguation (WSD) could be a difficult exploration-research issue in computational etymology that was perceived toward the... -
The Role of Artificial Neural Network in Word Sense Disambiguation (WSD)—A Survey
The chore of reducing ambiguity in distinct sense of words is known as word sense disambiguation (WSD). It’s a key area of research in computational...