A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
Deep learning in sentiment analysis: Recent architectures
T Abdullah, A Ahmet - ACM Computing Surveys, 2022 - dl.acm.org
Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …
unstructured opinionated data. Accurately analysing subjective information from this data is …
A transformer-based approach to irony and sarcasm detection
RA Potamias, G Siolas, AG Stafylopatis - Neural Computing and …, 2020 - Springer
Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
Affective and contextual embedding for sarcasm detection
Automatic sarcasm detection from text is an important classification task that can help
identify the actual sentiment in user-generated data, such as reviews or tweets. Despite its …
identify the actual sentiment in user-generated data, such as reviews or tweets. Despite its …
Contrastive self-supervised learning: review, progress, challenges and future research directions
In the last decade, deep supervised learning has had tremendous success. However, its
flaws, such as its dependency on manual and costly annotations on large datasets and …
flaws, such as its dependency on manual and costly annotations on large datasets and …
Cross-lingual BERT transformation for zero-shot dependency parsing
This paper investigates the problem of learning cross-lingual representations in a contextual
space. We propose Cross-Lingual BERT Transformation (CLBT), a simple and efficient …
space. We propose Cross-Lingual BERT Transformation (CLBT), a simple and efficient …
An embarrassingly simple approach for transfer learning from pretrained language models
A growing number of state-of-the-art transfer learning methods employ language models
pretrained on large generic corpora. In this paper we present a conceptually simple and …
pretrained on large generic corpora. In this paper we present a conceptually simple and …
Sarcasm detection over social media platforms using hybrid ensemble model with fuzzy logic
A figurative language expression known as sarcasm implies the complete contrast of what is
being stated with what is meant, with the latter usually being rather or extremely offensive …
being stated with what is meant, with the latter usually being rather or extremely offensive …
Reentrancy vulnerability detection and localization: A deep learning based two-phase approach
Smart contracts have been widely and rapidly used to automate financial and business
transactions together with blockchains, helping people make agreements while minimizing …
transactions together with blockchains, helping people make agreements while minimizing …
Sarcasm detection over social media platforms using hybrid auto-encoder-based model
Sarcasm is a language phrase that conveys the polar opposite of what is being said,
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …