[HTML][HTML] End-to-end transformer-based models in textual-based NLP
A Rahali, MA Akhloufi - AI, 2023 - mdpi.com
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
[HTML][HTML] Transfer learning for sentiment analysis using BERT based supervised fine-tuning
The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …
multiple platforms. The availability of these different worldviews and individuals' emotions …
Bangla-bert: transformer-based efficient model for transfer learning and language understanding
The advent of pre-trained language models has directed a new era of Natural Language
Processing (NLP), enabling us to create powerful language models. Among these models …
Processing (NLP), enabling us to create powerful language models. Among these models …
[HTML][HTML] Large language models (LLMs): survey, technical frameworks, and future challenges
P Kumar - Artificial Intelligence Review, 2024 - Springer
Artificial intelligence (AI) has significantly impacted various fields. Large language models
(LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have …
(LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have …
[PDF][PDF] Facial Image Generation from Bangla Textual Description using DCGAN and Bangla FastText
The synthesis of facial images from textual descriptions is a relatively difficult subfield of text-
to-image synthesis. It is applicable in various domains like Forensic Science, Game …
to-image synthesis. It is applicable in various domains like Forensic Science, Game …
[HTML][HTML] Attention-Oriented Deep Multi-Task Hash Learning
L Wang, Z Meng, F Dong, X Yang, X Xi, X Nie - Electronics, 2023 - mdpi.com
Hashing has wide applications in image retrieval at large scales due to being an efficient
approach to approximate nearest neighbor calculation. It can squeeze complex high …
approach to approximate nearest neighbor calculation. It can squeeze complex high …
the_linguists at blp-2023 task 1: A novel informal bangla fasttext embedding for violence inciting text detection
M Tariquzzaman, MW Kader, A Anam… - Proceedings of the …, 2023 - aclanthology.org
This paper introduces a novel informal Bangla word embedding for designing a cost-efficient
solution for the task “Violence Inciting Text Detection” which focuses on developing …
solution for the task “Violence Inciting Text Detection” which focuses on developing …
[HTML][HTML] Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
Data visualization is critical to unraveling hidden information from complex and high-
dimensional data. Interpretable visualization methods are critical, especially in the biology …
dimensional data. Interpretable visualization methods are critical, especially in the biology …
Developing a large benchmark corpus for urdu semantic word similarity
The semantic word similarity task aims to quantify the degree of similarity between a pair of
words. In literature, efforts have been made to create standard evaluation resources to …
words. In literature, efforts have been made to create standard evaluation resources to …
Emotion Classification using Generative Pre-trained Embedding and Machine Learning
Emotion detection from user-generated text has drawn tremendous attention in the recent
era for multiple reasons. Hence, there remain significant prospects in the urge for a state-of …
era for multiple reasons. Hence, there remain significant prospects in the urge for a state-of …