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How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Deep learning (DL) models for natural language processing (NLP) tasks often handle
private data, demanding protection against breaches and disclosures. Data protection laws …
private data, demanding protection against breaches and disclosures. Data protection laws …
Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations
Abstract Word Sense Disambiguation (WSD) aims to determine the meaning of a word in
context. Different approaches have been proposed in supervised and unsupervised …
context. Different approaches have been proposed in supervised and unsupervised …
Multi-head self-attention gated-dilated convolutional neural network for word sense disambiguation
CX Zhang, YL Zhang, XY Gao - IEEE Access, 2023 - ieeexplore.ieee.org
Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based
on its context. WSD is widely used in text classification, machine translation and information …
on its context. WSD is widely used in text classification, machine translation and information …
Enhancing the Performance of WSD Task Using Regularized GNNs With Semantic Diffusion
The ambiguity of a polysemous word, regardless of its language, is referred to as the ability
to have more than one meaning. Many techniques from Word Sense Disambiguation (WSD) …
to have more than one meaning. Many techniques from Word Sense Disambiguation (WSD) …
[PDF][PDF] Participation of UC3M in SDU@ AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms.
Acronyms disambiguation is considered a word sense disambiguation (WSD) task which
consists on determining the correct expansion of an acronym based on a given context. This …
consists on determining the correct expansion of an acronym based on a given context. This …
Machine Learning Approach for Kashmiri Word Sense Disambiguation
Studying the senses of words in a given data is crucial for analysing and understanding
natural languages. The meaning of an ambiguous word varies based on the context of …
natural languages. The meaning of an ambiguous word varies based on the context of …
[HTML][HTML] Step-wise discriminative learning on uncertain annotations for word sense disambiguation
Q Yang, J Zheng - Journal of Engineering Research, 2023 - Elsevier
Uncertain annotations with sparsity and uncertainty widely exist for many natural language
processing tasks. In this paper, a new word sense disambiguation system is proposed …
processing tasks. In this paper, a new word sense disambiguation system is proposed …
State of the Art Analysis of Word Sense Disambiguation
Abstract Word Sense Disambiguation (WSD) is a computational activity in natural language
processing (NLP) that aims to determine the meaning of a word in its context by choosing …
processing (NLP) that aims to determine the meaning of a word in its context by choosing …
Semi-supervised word sense disambiguation using example similarity graph
R Yatabe, M Sasaki - Proceedings of the graph-based methods …, 2020 - aclanthology.org
Abstract Word Sense Disambiguation (WSD) is a well-known problem in the natural
language processing. In recent years, there has been increasing interest in applying neural …
language processing. In recent years, there has been increasing interest in applying neural …
A survey of different approaches for word sense disambiguation
Abstract 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 word varies as per the …
the various senses of words in the text. The sense of a polysemous word varies as per the …