Dan Goldwasser

Dan Goldwasser

Purdue University

H-index: 27

North America-United States

About Dan Goldwasser

Dan Goldwasser, With an exceptional h-index of 27 and a recent h-index of 23 (since 2020), a distinguished researcher at Purdue University, specializes in the field of natural language processing, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy

Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns

An Interactive Framework for Profiling News Media Sources

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

Using llm for improving key event discovery: Temporal-guided news stream clustering with event summaries

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

" We Demand Justice!": Towards Grounding Political Text in Social Context

Dan Goldwasser Information

University

Position

___

Citations(all)

2947

Citations(since 2020)

1777

Cited By

1758

hIndex(all)

27

hIndex(since 2020)

23

i10Index(all)

56

i10Index(since 2020)

48

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Dan Goldwasser Skills & Research Interests

natural language processing

machine learning

Top articles of Dan Goldwasser

Title

Journal

Author(s)

Publication Date

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models

arXiv preprint arXiv:2402.14200

Younghun Lee

Dan Goldwasser

Laura Schwab Reese

2024/2/22

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy

arXiv preprint arXiv:2404.10259

Tunazzina Islam

Dan Goldwasser

2024/4/16

Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns

arXiv preprint arXiv:2403.10707

Tunazzina Islam

Dan Goldwasser

2024/3/15

An Interactive Framework for Profiling News Media Sources

arXiv preprint arXiv:2309.07384

Nikhil Mehta

Dan Goldwasser

2023/9/14

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

Tunazzina Islam

Ruqi Zhang

Dan Goldwasser

2023/8/8

Using llm for improving key event discovery: Temporal-guided news stream clustering with event summaries

Nishanth Nakshatri

Siyi Liu

Sihao Chen

Dan Roth

Dan Goldwasser

...

2023/12

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

Proceedings of the International AAAI Conference on Web and Social Media

Tunazzina Islam

Shamik Roy

Dan Goldwasser

2023/6/2

" We Demand Justice!": Towards Grounding Political Text in Social Context

arXiv preprint arXiv:2311.09106

Rajkumar Pujari

Chengfei Wu

Dan Goldwasser

2023/11/15

Knod: Domain knowledge distilled tree decoder for automated program repair

Nan Jiang

Thibaud Lutellier

Yiling Lou

Lin Tan

Dan Goldwasser

...

2023/5/14

" A Tale of Two Movements": Identifying and Comparing Perspectives in# BlackLivesMatter and# BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based …

arXiv preprint arXiv:2310.07155

Shamik Roy

Dan Goldwasser

2023/10/11

Interactive concept learning for uncovering latent themes in large text collections

arXiv preprint arXiv:2305.05094

Maria Leonor Pacheco

Tunazzina Islam

Lyle Ungar

Ming Yin

Dan Goldwasser

2023/5/8

Interactively learning social media representations improves news source factuality detection

arXiv preprint arXiv:2309.14966

Nikhil Mehta

Dan Goldwasser

2023/9/26

Towards few-shot identification of morality frames using in-context learning

arXiv preprint arXiv:2302.02029

Shamik Roy

Nishanth Sridhar Nakshatri

Dan Goldwasser

2023/2/3

Twitter user representation using weakly supervised graph embedding

Proceedings of the International AAAI Conference on Web and Social Media

Tunazzina Islam

Dan Goldwasser

2022/5/31

Understanding COVID-19 vaccine campaign on Facebook using minimal supervision

Tunazzina Islam

Dan Goldwasser

2022/12/17

Automated attack synthesis by extracting finite state machines from protocol specification documents

Maria Leonor Pacheco

Max von Hippel

Ben Weintraub

Dan Goldwasser

Cristina Nita-Rotaru

2022/5/22

Hands-On Interactive Neuro-Symbolic NLP with DRaiL

Maria Leonor Pacheco

Shamik Roy

Dan Goldwasser

2022/12

A holistic framework for analyzing the COVID-19 vaccine debate

arXiv preprint arXiv:2205.01817

Maria Leonor Pacheco

Tunazzina Islam

Monal Mahajan

Andrey Shor

Ming Yin

...

2022/5/3

Interactively uncovering latent arguments in social media platforms: A case study on the covid-19 vaccine debate

Maria Leonor Pacheco

Tunazzina Islam

Lyle Ungar

Ming Yin

Dan Goldwasser

2022/12

Tackling fake news detection by continually improving social context representations using graph neural networks

Nikhil Mehta

María Leonor Pacheco

Dan Goldwasser

2022/5

See List of Professors in Dan Goldwasser University(Purdue University)

Co-Authors

H-index: 97
Dan Roth

Dan Roth

University of Pennsylvania

H-index: 73
Lise Getoor

Lise Getoor

University of California, Santa Cruz

H-index: 71
Hal Daumé III

Hal Daumé III

University of Maryland, Baltimore

H-index: 71
Benjamin B. Bederson

Benjamin B. Bederson

University of Maryland

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