Search Results for author: Parag Pravin Dakle

Found 10 papers, 5 papers with code

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

no code implementations30 Mar 2024 Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan

For the impact type classification task, our XLM-RoBERTa model fine-tuned using a custom fine-tuning strategy ranked first for the English language.

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

1 code implementation27 Feb 2024 Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan

Many existing end-to-end systems for hybrid question answering tasks can often be boiled down to a "prompt-and-pray" paradigm, where the user has limited control and insight into the intermediate reasoning steps used to achieve the final result.

Question Answering

Towards leveraging LLMs for Conditional QA

no code implementations2 Dec 2023 Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan

This study delves into the capabilities and limitations of Large Language Models (LLMs) in the challenging domain of conditional question-answering.

Extractive Question-Answering Question Answering +1

Self-training Strategies for Sentiment Analysis: An Empirical Study

no code implementations15 Sep 2023 Haochen Liu, Sai Krishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan

Self-training has recently emerged as an economical and efficient technique for developing sentiment analysis models by leveraging a small amount of labeled data and a large amount of unlabeled data.

Sentiment Analysis

Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding

1 code implementation31 May 2023 Parker Glenn, Parag Pravin Dakle, Preethi Raghavan

In addressing the task of converting natural language to SQL queries, there are several semantic and syntactic challenges.

Text-To-SQL

HeySQuAD: A Spoken Question Answering Dataset

1 code implementation26 Apr 2023 Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan

Spoken question answering (SQA) systems are critical for digital assistants and other real-world use cases, but evaluating their performance is a challenge due to the importance of human-spoken questions.

Question Answering

Understanding BLOOM: An empirical study on diverse NLP tasks

no code implementations27 Nov 2022 Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan

We view the landscape of large language models (LLMs) through the lens of the recently released BLOOM model to understand the performance of BLOOM and other decoder-only LLMs compared to BERT-style encoder-only models.

Decoder Few-Shot Text Classification +4

Joint Learning of Syntactic Features Helps Discourse Segmentation

1 code implementation LREC 2020 Takshak Desai, Parag Pravin Dakle, Dan Moldovan

This paper describes an accurate framework for carrying out multi-lingual discourse segmentation with BERT (Devlin et al., 2019).

Discourse Segmentation token-classification

A Study on Entity Resolution for Email Conversations

no code implementations LREC 2020 Parag Pravin Dakle, Takshak Desai, Dan Moldovan

This paper investigates the problem of entity resolution for email conversations and presents a seed annotated corpus of email threads labeled with entity coreference chains.

Entity Resolution

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