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20202023
most citedTransformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora

6 citations · 19 across the 12 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

cs.CL2022★ 1 cited

An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning

Arjun Choudhry, Inder Khatri, Minni Jain +1

Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness…

cs.CL2022★ 6 cited

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora

Arjun Choudhry, Pankaj Gupta, Inder Khatri +4

Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resource…

cs.SI2022

CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization

Inder Khatri, Aaryan Gupta, Arjun Choudhry +3

Social networks have enabled user-specific advertisements and recommendations on their platforms, which puts a significant focus on Influence Maximisation (IM) for target advertisi…

cs.CL2022★ 1 cited

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry +3

Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for…

cs.CL2022★ 2 cited

Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation

Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty +2

Recent works on fake news detection have shown the efficacy of using emotions as a feature or emotions-based features for improved performance. However, the impact of these emotion…

cs.SI2022

MCD: A Modified Community Diversity Approach for Detecting Influential Nodes in Social Networks

Aaryan Gupta, Inder Khatri, Arjun Choudhry +1

Over the last couple of decades, Social Networks have connected people on the web from across the globe and have become a crucial part of our daily life. These networks have also r…

cs.SI2022★ 2 cited

Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy

Inder Khatri, Arjun Choudhry, Aryaman Rao +3

Influence Maximization (IM) is the task of determining k optimal influential nodes in a social network to maximize the influence spread using a propagation model. IM is a prominent…

cs.SI2022★ 1 cited

A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes

Aaryan Gupta, Inder Khatri, Arjun Choudhry +3

In recent years, social networking platforms have gained significant popularity among the masses like connecting with people and propagating ones thoughts and opinions. This has op…

cs.CL2022★ 1 cited

Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines

Anmol Bansal, Arjun Choudhry, Anubhav Sharma +1

Covid-19 has spread across the world and several vaccines have been developed to counter its surge. To identify the correct sentiments associated with the vaccines from social medi…