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most citedAttentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

2 citations · 3 across the 7 of their papers we have counts for

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cs.CL2024

Experimenting with Multi-modal Information to Predict Success of Indian IPOs

Sohom Ghosh, Arnab Maji, N Harsha Vardhan +1

With consistent growth in Indian Economy, Initial Public Offerings (IPOs) have become a popular avenue for investment. With the modern technology simplifying investments, more inve…

cs.CL2024

Generator-Guided Crowd Reaction Assessment

Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar

In the realm of social media, understanding and predicting post reach is a significant challenge. This paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate…

cs.CL2024

Convolutional Neural Networks can achieve binary bail judgement classification

Amit Barman, Devangan Roy, Debapriya Paul +4

There is an evident lack of implementation of Machine Learning (ML) in the legal domain in India, and any research that does take place in this domain is usually based on data from…

cs.CL20242 cited

Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

Atanu Mandal, Gargi Roy, Amit Barman +2

With the recent surge and exponential growth of social media usage, scrutinizing social media content for the presence of any hateful content is of utmost importance. Researchers h…

cs.CL20211 cited

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot

Afia Fairoose Abedin, Amirul Islam Al Mamun, Rownak Jahan Nowrin +3

In recent times, a large number of people have been involved in establishing their own businesses. Unlike humans, chatbots can serve multiple customers at a time, are available 24/…