Results 71 to 80 of about 29,481 (177)
An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Open Computer Science, 2016 Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
doaj +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
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
Selective Sampling for Example-based Word Sense Disambiguation
, 1998 This paper proposes an efficient example sampling method for example-based word sense disambiguation systems. To construct a database of practical size, a considerable overhead for manual sense disambiguation (overhead for supervision) is required.
Fujii, Atsushi +3 more
core +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
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
Word Sense Disambiguation using a Bidirectional LSTM
, 2016 In this paper we present a clean, yet effective, model for word sense disambiguation. Our approach leverage a bidirectional long short-term memory network which is shared between all words.
Kågebäck, Mikael, Salomonsson, Hans
core
Comparing children and large language models in word sense disambiguation: Insights and challenges
Language Development ResearchUnderstanding 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 +2 more
doaj +2 more sources