Strategies for enhancing the performance of news article classification in bangla: Handling imbalance and interpretation
The rapid increase in obtainable online text data has made text categorization an important
tool for data analysts to extract relevant information on the web. However, incorrect or …
tool for data analysts to extract relevant information on the web. However, incorrect or …
L3cube-hindbert and devbert: Pre-trained bert transformer models for devanagari based hindi and marathi languages
R Joshi - arxiv preprint arxiv:2211.11418, 2022 - arxiv.org
The monolingual Hindi BERT models currently available on the model hub do not perform
better than the multi-lingual models on downstream tasks. We present L3Cube-HindBERT, a …
better than the multi-lingual models on downstream tasks. We present L3Cube-HindBERT, a …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Identifying hot topic trends in streaming text data using sequential evolution model based on distributed representations
Hot topic trends have become increasingly important in the era of social media, as these
trends can spread rapidly through online platforms and significantly impact public discourse …
trends can spread rapidly through online platforms and significantly impact public discourse …
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape
P Ding, Y Wang, X Zhang, X Gao, G Liu… - Briefings in …, 2023 - academic.oup.com
Precise targeting of transcription factor binding sites (TFBSs) is essential to comprehending
transcriptional regulatory processes and investigating cellular function. Although several …
transcriptional regulatory processes and investigating cellular function. Although several …
Offensive language identification in transliterated and code-mixed bangla
Identifying offensive content in social media is vital for creating safe online communities.
Several recent studies have addressed this problem by creating datasets for various …
Several recent studies have addressed this problem by creating datasets for various …
BiGRU-ANN based hybrid architecture for intensified classification tasks with explainable AI
Artificial Intelligence (AI) is increasingly being employed in critical decision-making
processes such as medical diagnosis, credit approval, criminal justice, and many more …
processes such as medical diagnosis, credit approval, criminal justice, and many more …
nlpbdpatriots at blp-2023 task 1: A two-step classification for violence inciting text detection in Bangla
In this paper, we discuss the nlpBDpatriots entry to the shared task on Violence Inciting Text
Detection (VITD) organized as part of the first workshop on Bangla Language Processing …
Detection (VITD) organized as part of the first workshop on Bangla Language Processing …
[HTML][HTML] Improving the Accuracy and Effectiveness of Text Classification Based on the Integration of the Bert Model and a Recurrent Neural Network …
C Eang, S Lee - Applied Sciences, 2024 - mdpi.com
This paper proposes a new robust model for text classification on the Stanford Sentiment
Treebank v2 (SST-2) dataset in terms of model accuracy. We developed a Recurrent Neural …
Treebank v2 (SST-2) dataset in terms of model accuracy. We developed a Recurrent Neural …
Reading comprehension based question answering system in Bangla language with transformer-based learning
Question answering (QA) system in any language is an assortment of mechanisms for
obtaining answers to user questions with various data compositions. Reading …
obtaining answers to user questions with various data compositions. Reading …