We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.
Filters applied:

Search Results

Showing 1-20 of 1,014 results
  1. 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...

    Ratul Das, Alok Ranjan Pal, Diganta Saha in Sādhanā
    Article 30 May 2024
  2. 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...

    Debapratim Das Dawn, Abhinandan Khan, ... Rajat Kumar Pal in Journal of Ambient Intelligence and Humanized Computing
    Article 24 December 2022
  3. 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...
    Tawseef Ahmad Mir, Aadil Ahmad Lawaye, ... Parveen Rana in International Conference on Innovative Computing and Communications
    Conference paper 2024
  4. 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...

    Hichem Haouassi, Abdelaali Bekhouche, ... Ouahiba Chouhal in Arabian Journal for Science and Engineering
    Article 24 June 2023
  5. 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...

    James A. Rodger, Justin Piper in International Journal of Speech Technology
    Article 01 September 2023
  6. 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...
    Chandrakant D. Kokane, Sachin D. Babar, ... Shivprasad P. Patil in Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023
    Conference paper 2023
  7. 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...
    Rasika Ransing, Archana Gulati in ICT Analysis and Applications
    Conference paper 2023
  8. 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....
    Subungshri Basumatary, Karmabir Brahma, ... Amitava Nag in Modeling, Simulation and Optimization
    Conference paper 2024
  9. 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...
    Oumayma El Hannaoui, El Habib Nfaoui, Fatima El Haoussi in International Conference on Advanced Intelligent Systems for Sustainable Development
    Conference paper 2023
  10. 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...
    Conference paper 2022
  11. 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...
    Neeraja Koppula, J. Pradeep Kumar, ... G. Kiran Kumar in Advanced Techniques for IoT Applications
    Conference paper 2022
  12. 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...
    Palanati Durgaprasad, K. V. N. Sunitha, B. Padmajarani in Communication, Software and Networks
    Conference paper 2023
  13. 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...
    C. P. Chandrika, Jagadish S. Kallimani in Smart Intelligent Computing and Applications, Volume 2
    Conference paper 2022
  14. 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...
    Arpit Jadiya, Thejaswini Dondemadahalli Manjunath, Biju R. Mohan in Advanced Machine Intelligence and Signal Processing
    Conference paper 2022
  15. 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...
    Rakia Saidi, Fethi Jarray in Intelligent Systems Design and Applications
    Conference paper 2022
  16. 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...
    Archana Sachindeo Maurya, Promila Bahadur, Srishti Garg in Proceedings of Third Doctoral Symposium on Computational Intelligence
    Conference paper 2023
  17. 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...
    Conference paper 2022
  18. 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...
    Aryan Singhania, Harsh Gupta, Minni Jain in Proceedings of Data Analytics and Management
    Conference paper 2023
  19. 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...
    Archana Sachindeo Maurya, Promila Bahadur in Proceedings of Second Doctoral Symposium on Computational Intelligence
    Conference paper 2022
  20. 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...
    H. R. Roopa, S. Panneer Arockiaraj in Rising Threats in Expert Applications and Solutions
    Conference paper 2022
Did you find what you were looking for? Share feedback.