8 citations · 21 across the 13 of their papers we have counts for
19 papers
Towards Explaining Subjective Ground of Individuals on Social Media
Younghun Lee, Dan Goldwasser
Large-scale language models have been reducing the gap between machines and humans in understanding the real world, yet understanding an individual's theory of mind and behavior fr…
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
Maria Leonor Pacheco, Max von Hippel, Ben Weintraub +2
Automated attack discovery techniques, such as attacker synthesis or model-based fuzzing, provide powerful ways to ensure network protocols operate correctly and securely. Such tec…
Identifying Morality Frames in Political Tweets using Relational Learning
Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser
Extracting moral sentiment from text is a vital component in understanding public opinion, social movements, and policy decisions. The Moral Foundation Theory identifies five moral…
Modeling Human Mental States with an Entity-based Narrative Graph
I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
Understanding narrative text requires capturing characters' motivations, goals, and mental states. This paper proposes an Entity-based Narrative Graph (ENG) to model the internal-s…
Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information
Tunazzina Islam, Dan Goldwasser
Leveraging social media data to understand people's lifestyle choices is an exciting domain to explore but requires a multiview formulation of the data. In this paper, we propose a…
Randomized Deep Structured Prediction for Discourse-Level Processing
Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio +1
Expressive text encoders such as RNNs and Transformer Networks have been at the center of NLP models in recent work. Most of the effort has focused on sentence-level tasks, capturi…