Jasabanta Patro

According to our database, Jasabanta Patro authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario.

Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro

CoRR, 2024

2022

IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English.

Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021

Context-Aware Deep Markov Random Fields for Fake News Detection.

Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis

IEEE Access, 2021

A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News.

Jasabanta Patro, Sabyasachee Baruah

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter.

Jasabanta Patro, Pushpendra Singh Rathore

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection.

Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.

Jasabanta Patro, Nitin Choudhary, Kalpit Chittora, Animesh Mukherjee

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Characterizing the Spread of Exaggerated Health News Content over Social Media.

Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

A deep-learning framework to detect sarcasm targets.

Jasabanta Patro, Srijan Bansal, Animesh Mukherjee

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Characterizing the spread of exaggerated news content over social media.

Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee

CoRR, 2018

What Propels Celebrity Follower Counts? Language Use or Social Connectivity.

Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee

CoRR, 2018

2017

Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media.

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

CoRR, 2017

All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media.

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017