Kasturi Bhattacharjee

According to our database1, Kasturi Bhattacharjee authored at least 15 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels.
CoRR, 2023

PhraseSumm: Abstractive Short Phrase Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

2022
PerKGQA: Question Answering over Personalized Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

What Do Users Care About? Detecting Actionable Insights from User Feedback.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Towards Cross-Domain Transferability of Text Generation Models for Legal Text.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
Domain and Task-Informed Sample Selection for Cross-Domain Target-based Sentiment Analysis.
Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
CIO Forum: Big Data Analytics: Opportunities, Challenges and Lessons Learned.
Proceedings of the 41st International Conference on Information Systems, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Neural Word Decomposition Models for Abusive Language Detection.
CoRR, 2019

2016
Opinion Detection, Sentiment Analysis and User Attribute Detection from Online Text Data.
PhD thesis, 2016

What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Detecting Opinions in a Temporally Evolving Conversation on Twitter.
Proceedings of the Social Informatics - 7th International Conference, 2015

Tag Me Maybe: Perceptions of Public Targeted Sharing on Facebook.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

2014
Probabilistic User-Level Opinion Detection on Online Social Networks.
Proceedings of the Social Informatics, 2014


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