6 papers
Extending the Frontiers of QNLP Beyond English: Grammar-Sensitive Pipeline for Hindi Sentiment Classification Using Compositional Quantum Models
Gautami Sanjay Naik, Rishi Koushik Reddy Thippireddy, Naman Srivastava +4
Advancements in Natural Language Processing (NLP), whether on classical or quantum platforms, have predominantly focused on English due to its widespread use and abundant linguisti…
HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse
Sai Kartheek Reddy Kasu, Shankar Biradar, Sunil Saumya +1
Subtle and indirect hate speech remains an underexplored challenge in online safety research, particularly when harmful intent is embedded within misleading or manipulative narrati…
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content
Sai Kartheek Reddy Kasu, Shankar Biradar, Sunil Saumya
In the evolving landscape of online discourse, misinformation increasingly adopts humorous tones to evade detection and gain traction. This work introduces Deceptive Humor as a nov…
Enabling Quantum Natural Language Processing for Hindi Language
Naman Srivastava, Gaurang Belekar, Sunil Saumya +2
Quantum Natural Language Processing (QNLP) is taking huge leaps in solving the shortcomings of classical Natural Language Processing (NLP) techniques and moving towards a more "Exp…
Hope Speech Detection on Social Media Platforms
Pranjal Aggarwal, Pasupuleti Chandana, Jagrut Nemade +3
Since personal computers became widely available in the consumer market, the amount of harmful content on the internet has significantly expanded. In simple terms, harmful content…
IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languages
Shankar Biradar, Sunil Saumya
In recent years, there has been a lot of focus on offensive content. The amount of offensive content generated by social media is increasing at an alarming rate. This created a gre…