Jasabanta Patro

Orcid: 0000-0003-2461-9679

According to our database1, Jasabanta Patro authored at least 12 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021
Context-Aware Deep Markov Random Fields for Fake News Detection.
IEEE Access, 2021

A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News.
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.
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.
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.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Characterizing the Spread of Exaggerated Health News Content over Social Media.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

A deep-learning framework to detect sarcasm targets.
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.
CoRR, 2018

What Propels Celebrity Follower Counts? Language Use or Social Connectivity.
CoRR, 2018

2017
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media.
CoRR, 2017

All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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