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Parag Dakle
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2020 – today
- 2024
- [c7]Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan:
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. ACL (Findings) 2024: 453-466 - [c6]Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan:
Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) 2024: 1944-1954 - [i8]Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan:
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. CoRR abs/2402.17882 (2024) - [i7]Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan:
Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. CoRR abs/2404.00386 (2024) - 2023
- [c5]Parag Pravin Dakle, Serdar Kadioglu
, Karthik Uppuluri
Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. CPAIOR 2023: 299-319 - [i6]Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan:
HeySQuAD: A Spoken Question Answering Dataset. CoRR abs/2304.13689 (2023) - [i5]Parker Glenn, Parag Pravin Dakle, Preethi Raghavan:
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. CoRR abs/2305.19974 (2023) - [i4]Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan:
An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR abs/2309.08777 (2023) - [i3]Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan:
Towards leveraging LLMs for Conditional QA. CoRR abs/2312.01143 (2023) - 2022
- [i2]Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan:
Understanding BLOOM: An empirical study on diverse NLP tasks. CoRR abs/2211.14865 (2022) - 2021
- [i1]Parag Pravin Dakle, Dan I. Moldovan:
CEREC: A Corpus for Entity Resolution in Email Conversations. CoRR abs/2105.10606 (2021) - 2020
- [c4]Parag Dakle, Dan I. Moldovan:
CEREC: A Corpus for Entity Resolution in Email Conversations. COLING 2020: 339-349 - [c3]Parag Dakle, Takshak Desai, Dan I. Moldovan:
A Study on Entity Resolution for Email Conversations. LREC 2020: 65-73 - [c2]Takshak Desai, Parag Dakle, Dan I. Moldovan:
Joint Learning of Syntactic Features Helps Discourse Segmentation. LREC 2020: 1073-1080
2010 – 2019
- 2018
- [c1]Takshak Desai, Parag Dakle, Dan I. Moldovan:
Generating Questions for Reading Comprehension using Coherence Relations. NLP-TEA@ACL 2018: 1-10
Coauthor Index
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