A Systematic Review of Question Classification Techniques Based on Bloom's Taxonomy

A Rawat, S Kumar, SS Samant - 2023 14th international …, 2023 - ieeexplore.ieee.org
Learning knowledge is simply one aspect of education but thinking skills are also taught.
Bloom's taxonomy is mostly used for question formulation and evaluation of examination …

Cvit: a convolution vision transformer for video abnormal behavior detection and localization

S Roka, M Diwakar - SN Computer Science, 2023 - Springer
Video anomaly detection is a critical task because of the rare, irregular, and unbounded
nature of abnormal events. Currently, most approaches only rely on CNN for such tasks, but …

Comparative Analysis of State-of-the-Art Q&A Models: BERT, RoBERTa, DistilBERT, and ALBERT on SQuAD v2 Dataset

C Özkurt - Chaos and Fractals, 2024 - journals.adbascientific.com
In the rapidly evolving landscape of natural language processing (NLP) and artificial
intelligence, recent years have witnessed significant advancements, particularly in text …

Question: How do Large Language Models perform on the Question Answering tasks? Answer

K Fischer, D Fürst, S Steindl, J Lindner… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have been showing promising results for various NLP-tasks
without the explicit need to be trained for these tasks by using few-shot or zero-shot …

[PDF][PDF] Unveiling the Past: AI-Powered Historical Book Question Answering

H Thapliyal - 2023 - dasarpai.com
How many facts you know, and how many questions you can answer at the right time are
signs of how knowledgeable you are and your presence of mind. But the greatest sign of …

Attention-based Hybrid Deep Learning Model for Detecting Hateful Tweets

A Rawat, S Kumar, SS Samant - 2024 15th International …, 2024 - ieeexplore.ieee.org
The spread of hate speech on the internet makes it difficult to create safe online groups.
Because harmful language is ever-evolving and has subtleties and contextual …

At scaled research opportunity identification: The marriage of explicit and parametric knowledge

NN Alotaibi, M Saberi, M Bandara… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In an era of rapid digital transformation, orga-nizations often grapple with inadequate and
reactive strategic planning, leading to potential market capitalization losses and missed …

Context-Based Question Answering Using Large Language BERT Variant Models for Low Resourced Sesotho sa Leboa Language

MA Masethe, HD Masethe… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Since reading and responding to text needs both a grasp of natural language and
awareness of the outside world, it is challenging for machines to do [1]. The most difficult …

[PDF][PDF] Encoder-Decoder Transformers for Textual Summaries on Social Media Content

A Papagiannopoulou, C Angeli - Automation, Control and Intelligent …, 2024 - elke.uniwa.gr
Social media has a leading role to our lives due to radical upgrade of internet and smart
technology. It is the primary way of informing, advertising, exchanging opinions and …

[PDF][PDF] Investigation of Transformers and Other Machine Learning Techniques for Health Data Classification

L Yamazaki - 2024 - jewlscholar.mtsu.edu
I am particularly grateful to the committee members Dr. Arpan Sainju and Dr Yeqian Liu for
their time, support, and valuable advice. Their insights and feedback have been crucial in …