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Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism

Machine Learning and Knowledge Extraction
Transformer models produce advanced text representations that have been used to break through the hard challenge of natural language understanding. Using the Transformer’s attention mechanism, which acts as a language learning memory, trained on tens of ...
Radu Ion, Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea, Dan Tufiș   +6 more
doaj   +1 more source

PENENTUAN MAKNA KATA DARI FRASE DALAM KALIMAT BAHASA INGGRIS

Rekayasa, 2011
Tokenisasi merupakan proses memecah kalimat menjadi kata, frase atau bentuk lain yang memiliki arti, hasil tokenisasi disebut sebagai token. Tokenisasi adalah langkah prapemrosesan Word Sense Disambiguation (WSD), proses penentuan makna suatu kata ...
Jeany Harmoejanto
doaj   +1 more source

Unsupervised monolingual and bilingual word-sense disambiguation of medical documents using UMLS [PDF]

, 2003
Dominic Widdows, Stanley Peters, Scott Cederberg, Chiu-Ki Chan, Diana Steffen, Paul Buitelaar   +5 more
openalex   +1 more source

Cross-Lingual and Supervised Learning Approach for Indonesian Word Sense Disambiguation Task [PDF]

, 2018
Rahmad Mahendra, Heninggar Septiantri, Haryo Akbarianto Wibowo, Hendra Manurung, Mirna Adriani   +4 more
openalex   +1 more source

Neural Network Models for Word Sense Disambiguation: An Overview

Cybernetics and Information Technologies, 2018
The following article presents an overview of the use of artificial neural networks for the task of Word Sense Disambiguation (WSD). More specifically, it surveys the advances in neural language models in recent years that have resulted in methods for ...
Popov Alexander
doaj   +1 more source

MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation [PDF]

, 2023
Joshua Tanner, J. M. HOFFMAN
openalex   +1 more source

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information [PDF]

, 2023
Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu   +4 more
openalex   +1 more source

A Novel Neural Sequence Model with Multiple Attentions for Word Sense\n Disambiguation [PDF]

, 2018
Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer   +2 more
openalex   +2 more sources

Comparing children and large language models in word sense disambiguation: Insights and challenges

Language Development Research
Understanding how children process ambiguous words is a challenge because sense disambiguation is a complex task that depends on both bottom-up and top-down cues.
Abdellah Fourtassi, Francesco Cabiddu, Mitja Nikolaus   +2 more
doaj   +2 more sources

Foreground and Background Lexicons and Word Sense Disambiguation for Information Extraction [PDF]

, 1997
Adam Kilgarriff
openalex   +1 more source