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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 2022 · cs.CLShow all

5 papers · 2 filters

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.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.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…