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20162022
most citedTransformer based Automatic COVID-19 Fake News Detection System

55 citations · 157 across the 36 of their papers we have counts for

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Showing 2021Show all

13 papers · 1 filter

cs.CL2021

ViTA: Visual-Linguistic Translation by Aligning Object Tags

Kshitij Gupta, Devansh Gautam, Radhika Mamidi

Multimodal Machine Translation (MMT) enriches the source text with visual information for translation. It has gained popularity in recent years, and several pipelines have been pro…

cs.CL2021

Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble

Kshitij Gupta, Devansh Gautam, Radhika Mamidi

Memes are one of the most popular types of content used to spread information online. They can influence a large number of people through rhetorical and psychological techniques. T…

cs.LG2021★ 14 cited

Detection of Fake Users in SMPs Using NLP and Graph Embeddings

Manojit Chakraborty, Shubham Das, Radhika Mamidi

Social Media Platforms (SMPs) like Facebook, Twitter, Instagram etc. have large user base all around the world that generates huge amount of data every second. This includes a lot…

cs.CL2021

Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes

Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi

While Curriculum Learning (CL) has recently gained traction in Natural language Processing Tasks, it is still not adequately analyzed. Previous works only show their effectiveness…

cs.CL2021★ 1 cited

Towards Conversational Humor Analysis and Design

Tanishq Chaudhary, Mayank Goel, Radhika Mamidi

Well-defined jokes can be divided neatly into a setup and a punchline. While most works on humor today talk about a joke as a whole, the idea of generating punchlines to a setup ha…

cs.CL2021★ 8 cited

Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers

Ishan Sanjeev Upadhyay, Nikhil E, Anshul Wadhawan +1

This paper aims to describe the approach we used to detect hope speech in the HopeEDI dataset. We experimented with two approaches. In the first approach, we used contextual embedd…