Results 101 to 110 of about 84,634 (222)
Lexical Chaining and Word-Sense-Disambiguation [PDF]
, 2012 Lexical chains algorithms attempt to find sequences of words in a document that are closely related semantically. Such chains have been argued to provide a good indication of the topics covered by the document without requiring a deeper analysis of the ...
Nelken, Rani, Shieber, Stuart M.
core
AutoSense Model for Word Sense Induction
, 2018 Word sense induction (WSI), or the task of automatically discovering multiple senses or meanings of a word, has three main challenges: domain adaptability, novel sense detection, and sense granularity flexibility. While current latent variable models are
Amplayo, Reinald Kim +2 more
core +1 more source
Word Sense Disambiguation: Algorithms and applications [PDF]
, 2006 This book describes the state of the art in Word Sense Disambiguation.
Agirre, Eneko,, Edmonds, P.
core +1 more source
Exemplar-Based Word Sense Disambiguation: Some Recent Improvements [PDF]
, 2022 Hwee Tou Ng
openalex +1 more source
Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism
Machine Learning and Knowledge ExtractionTransformer 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 +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
Wiki sense bag creation using multilingual word sense disambiguation
, 2022 Shreya Patankar +2 more
openalex +2 more sources
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
Conference on Empirical Methods in Natural Language Processing, 2019 Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed.
Marco Maru +3 more
semanticscholar +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
Improving Text-to-Pictograph Translation Through Word Sense Disambiguation [PDF]
, 2016 Leen Sevens +4 more
openalex +1 more source