Parag Dakle

According to our database, Parag Dakle authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models.

Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan

CoRR, 2024

Self-training Strategies for Sentiment Analysis: An Empirical Study.

Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra.

Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Towards leveraging LLMs for Conditional QA.

Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan

CoRR, 2023

An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis.

Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan

CoRR, 2023

Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding.

Parker Glenn, Parag Pravin Dakle, Preethi Raghavan

CoRR, 2023

HeySQuAD: A Spoken Question Answering Dataset.

Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan

CoRR, 2023

Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language.

Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2022

Understanding BLOOM: An empirical study on diverse NLP tasks.

Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan

CoRR, 2022

2020

Joint Learning of Syntactic Features Helps Discourse Segmentation.

Takshak Desai, Parag Dakle, Dan I. Moldovan

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Study on Entity Resolution for Email Conversations.

Parag Dakle, Takshak Desai, Dan I. Moldovan

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

CEREC: A Corpus for Entity Resolution in Email Conversations.

Parag Dakle, Dan I. Moldovan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

Generating Questions for Reading Comprehension using Coherence Relations.

Takshak Desai, Parag Dakle, Dan I. Moldovan

Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, 2018