Dan Goldwasser

research

∙ 09/14/2023

An Interactive Framework for Profiling News Media Sources

The recent rise of social media has led to the spread of large amounts o...

0 Nikhil Mehta, et al. ∙

research

∙ 05/08/2023

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections

Experts across diverse disciplines are often interested in making sense ...

0 Maria Leonor Pacheco, et al. ∙

research

∙ 05/06/2023

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

Climate change is the defining issue of our time, and we are at a defini...

13 Tunazzina Islam, et al. ∙

research

∙ 02/03/2023

Towards Few-Shot Identification of Morality Frames using In-Context Learning

Data scarcity is a common problem in NLP, especially when the annotation...

0 Shamik Roy, et al. ∙

research

∙ 02/03/2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Automated Program Repair (APR) improves software reliability by generati...

3 Nan Jiang, et al. ∙

research

∙ 11/18/2022

Towards Explaining Subjective Ground of Individuals on Social Media

Large-scale language models have been reducing the gap between machines ...

0 Younghun Lee, et al. ∙

research

∙ 10/19/2022

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

Social media platforms are currently the main channel for political mess...

3 Tunazzina Islam, et al. ∙

research

∙ 10/18/2022

Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision

In the age of social media, where billions of internet users share infor...

1 Tunazzina Islam, et al. ∙

research

∙ 05/03/2022

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate

The Covid-19 pandemic has led to infodemic of low quality information le...

3 Maria Leonor Pacheco, et al. ∙

research

∙ 02/18/2022

Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents

Automated attack discovery techniques, such as attacker synthesis or mod...

0 Maria Leonor Pacheco, et al. ∙

research

∙ 09/09/2021

Identifying Morality Frames in Political Tweets using Relational Learning

Extracting moral sentiment from text is a vital component in understandi...

0 Shamik Roy, et al. ∙

research

∙ 08/20/2021

Twitter User Representation using Weakly Supervised Graph Embedding

Social media platforms provide convenient means for users to participate...

9 Tunazzina Islam, et al. ∙

research

∙ 04/14/2021

Modeling Human Mental States with an Entity-based Narrative Graph

Understanding narrative text requires capturing characters' motivations,...

0 I-ta Lee, et al. ∙

research

∙ 04/07/2021

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model

Multiview representation learning of data can help construct coherent an...

9 Tunazzina Islam, et al. ∙

research

∙ 01/25/2021

Randomized Deep Structured Prediction for Discourse-Level Processing

Expressive text encoders such as RNNs and Transformer Networks have been...

0 Manuel Widmoser, et al. ∙

research

∙ 12/31/2020

Using Natural Language Relations between Answer Choices for Machine Comprehension

When evaluating an answer choice for Reading Comprehension task, other a...

0 Rajkumar Pujari, et al. ∙

research

∙ 12/31/2020

Understanding Politics via Contextualized Discourse Processing

Politicians often have underlying agendas when reacting to events. Argum...

0 Rajkumar Pujari, et al. ∙

research

∙ 12/17/2020

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information

Leveraging social media data to understand people's lifestyle choices is...

9 Tunazzina Islam, et al. ∙

research

∙ 12/05/2020

Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information

Although yoga is a multi-component practice to hone the body and mind an...

6 Tunazzina Islam, et al. ∙

research

∙ 11/02/2020

Semi-supervised Autoencoding Projective Dependency Parsing

We describe two end-to-end autoencoding models for semi-supervised graph...

0 Xiao Zhang, et al. ∙

research

∙ 11/02/2020

Cross-Lingual Document Retrieval with Smooth Learning

Cross-lingual document search is an information retrieval task in which ...

0 Jiapeng Liu, et al. ∙

research

∙ 10/29/2020

"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text

We examine a new commonsense reasoning task: given a narrative describin...

0 Keen You, et al. ∙

research

∙ 10/20/2020

Modeling Content and Context with Deep Relational Learning

Building models for realistic natural language tasks requires dealing wi...

0 Maria Leonor Pacheco, et al. ∙

research

∙ 09/21/2020

Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media

In this paper we suggest a minimally-supervised approach for identifying...

0 Shamik Roy, et al. ∙

research

∙ 12/01/2019

An Anomaly Contribution Explainer for Cyber-Security Applications

In this paper, we introduce Anomaly Contribution Explainer or ACE, a too...

0 Xiao Zhang, et al. ∙

research

∙ 08/01/2019

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

Various domain users are increasingly leveraging real-time social media ...

5 Luke S. Snyder, et al. ∙

research

∙ 06/03/2019

Sentiment Tagging with Partial Labels using Modular Architectures

Many NLP learning tasks can be decomposed into several distinct sub-task...

0 Xiao Zhang, et al. ∙

research

∙ 05/12/2019

Improving Natural Language Interaction with Robots Using Advice

Over the last few years, there has been growing interest in learning mod...

0 Nikhil Mehta, et al. ∙

research

∙ 10/10/2018

Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols

Grammar-based fuzzing is a technique used to find software vulnerabiliti...

0 Samuel Jero, et al. ∙

research

∙ 11/30/2015

Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text

The ability to comprehend wishes or desires and their fulfillment is imp...

0 Snigdha Chaturvedi, et al. ∙

Dan Goldwasser

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