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2020 – today
- 2024
[i7]Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro:
Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario. CoRR abs/2405.20755 (2024)- 2022
- [c8]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro
:
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. SemEval@NAACL 2022: 938-944 - [i6]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro:
IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. CoRR abs/2203.02244 (2022) - 2021
- [j1]Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis:
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9: 130042-130054 (2021) - [c7]Jasabanta Patro, Sabyasachee Baruah:
A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News. EACL 2021: 3293-3305 - 2020
- [c6]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
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. ACL 2020: 1018-1023 - [c5]Jasabanta Patro, Pushpendra Singh Rathore:
A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter. HT 2020: 241-250 - [i5]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
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. CoRR abs/2005.02295 (2020)
2010 – 2019
- 2019
- [c4]Jasabanta Patro, Srijan Bansal, Animesh Mukherjee:
A deep-learning framework to detect sarcasm targets. EMNLP/IJCNLP (1) 2019: 6335-6341 - [c3]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the Spread of Exaggerated Health News Content over Social Media. HT 2019: 279-280 - [c2]Jasabanta Patro, Nitin Choudhary, Kalpit Chittora, Animesh Mukherjee:
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. SemEval@NAACL-HLT 2019: 241-246 - 2018
- [i4]Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee:
What Propels Celebrity Follower Counts? Language Use or Social Connectivity. CoRR abs/1811.07169 (2018) - [i3]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the spread of exaggerated news content over social media. CoRR abs/1811.07853 (2018) - 2017
- [c1]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. EMNLP 2017: 2264-2274 - [i2]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media. CoRR abs/1703.05122 (2017) - [i1]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media. CoRR abs/1707.08446 (2017)
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last updated on 2024-06-25 20:59 CEST by the dblp team
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