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20062024
most citedAnalyzing the hate and counter speech accounts on Twitter

59 citations · 511 across the 90 of their papers we have counts for

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18 papers · 1 filter

cs.CL2023★ 2 cited

Personality Detection and Analysis using Twitter Data

Abhilash Datta, Souvic Chakraborty, Animesh Mukherjee

Personality types are important in various fields as they hold relevant information about the characteristics of a human being in an explainable format. They are often good predict…

cs.CL2022★ 1 cited

"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild

Utkarsh Patel, Animesh Mukherjee, Mainack Mondal

Today, participating in discussions on online forums is extremely commonplace and these discussions have started rendering a strong influence on the overall opinion of online users…

cs.CL2021★ 1 cited

Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages

Srijan Bansal, Vishal Garimella, Ayush Suhane +1

In this paper, we advance the current state-of-the-art method for debiasing monolingual word embeddings so as to generalize well in a multilingual setting. We consider different me…

cs.CL2020

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew, Punyajoy Saha, Seid Muhie Yimam +3

Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the…

cs.CL2020★ 48 cited

Aspect-based Sentiment Analysis of Scientific Reviews

Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

Scientific papers are complex and understanding the usefulness of these papers requires prior knowledge. Peer reviews are comments on a paper provided by designated experts on that…

cs.CL2019

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings

Abhik Jana, Dmitry Puzyrev, Alexander Panchenko +3

The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constituents and their grammatical rela…