Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification. - Maria Leonor Pacheco; Kelwin Fernandes; Aldo Porco (CLEF (Working Notes), 2015)

Adapting Event Embedding for Implicit Discourse Relation Recognition. - Maria Leonor Pacheco; I-Ta Lee; Xiao Zhang 017; Abdullah Khan Zehady; Pranjal Daga; Di Jin; Ayush Parolia; Dan Goldwasser (CoNLL Shared Task, 2016)

Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. - Xiao Zhang 017; Maria Leonor Pacheco; Chang Li 005; Dan Goldwasser (SPNLP@EMNLP, 2016)

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. - I-Ta Lee; Mahak Goindani; Chang Li 005; Di Jin; Kristen Johnson; Xiao Zhang 017; Maria Leonor Pacheco; Dan Goldwasser (SemEval@ACL, 2017)

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. - Samuel Jero; Maria Leonor Pacheco; Dan Goldwasser; Cristina Nita-Rotaru (AAAI, 2019)

Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. - I-Ta Lee; Maria Leonor Pacheco; Dan Goldwasser (EMNLP (Findings), 2020)

Identifying Collaborative Conversations using Latent Discourse Behaviors. - Ayush Jain; Maria Leonor Pacheco; Steven Lancette; Mahak Goindani; Dan Goldwasser (SIGdial, 2020)

Randomized Deep Structured Prediction for Discourse-Level Processing. - Manuel Widmoser; Maria Leonor Pacheco; Jean Honorio; Dan Goldwasser (EACL, 2021)

Identifying Morality Frames in Political Tweets using Relational Learning. - Shamik Roy; Maria Leonor Pacheco; Dan Goldwasser (EMNLP (1), 2021)

Modeling Human Mental States with an Entity-based Narrative Graph. - I-Ta Lee; Maria Leonor Pacheco; Dan Goldwasser (NAACL-HLT, 2021)

Modeling Content and Context with Deep Relational Learning. - Maria Leonor Pacheco; Dan Goldwasser (Trans. Assoc. Comput. Linguistics, 2021)

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. - Nikhil Mehta 003; Maria Leonor Pacheco; Dan Goldwasser (ACL (1), 2022)

Hands-On Interactive Neuro-Symbolic NLP with DRaiL. - Maria Leonor Pacheco; Shamik Roy; Dan Goldwasser (EMNLP (Demos), 2022)

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. - Maria Leonor Pacheco; Tunazzina Islam; Monal Mahajan; Andrey Shor; Ming Yin; Lyle H. Ungar; Dan Goldwasser (NAACL-HLT, 2022)

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 (SP, 2022)

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. - Maria Leonor Pacheco; Tunazzina Islam; Lyle H. Ungar; Ming Yin; Dan Goldwasser (ACL (Findings), 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software. - Dananjay Srinivas; Rohan Das; Saeid Tizpaz-Niari; Ashutosh Trivedi 001; Maria Leonor Pacheco (CoRR, 2023)

Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News. - Alexandria Leto; Elliot Pickens; Coen D. Needell; David Rothschild; Maria Leonor Pacheco (ACL (1), 2024)

Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes. - Matt Pauk; Maria Leonor Pacheco (SemEval@NAACL, 2024)

Studying the Effects of Collaboration in Interactive Theme Discovery Systems. - Alvin Po-Chun Chen; Dananjay Srinivas; Alexandra Barry; Maksim Seniw; Maria Leonor Pacheco (CoRR, 2024)

Media Framing through the Lens of Event-Centric Narratives. - Rohan Das; Aditya Chandra; I-Ta Lee; Maria Leonor Pacheco (CoRR, 2024)

All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing. - Advait Deshmukh; Ashwin Umadi; Dananjay Srinivas; Maria Leonor Pacheco (CoRR, 2024)

Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis. - John Komp; Dananjay Srinivas; Maria Leonor Pacheco; Ashutosh Trivedi 001 (CoRR, 2024)

CLIX: Cross-Lingual Explanations of Idiomatic Expressions. - Aaron Gluck; Katharina von der Wense; Maria Leonor Pacheco (ACL (Findings), 2025)

Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku. - Anirudh Maiya; Razan Alghamdi; Maria Leonor Pacheco; Ashutosh Trivedi 001; Fabio Somenzi (ACL (Findings), 2025)

Identifying Power Relations in Conversations using Multi-Agent Social Reasoning. - Zhaoqing Wu; Dan Goldwasser; Maria Leonor Pacheco; Leora Morgenstern (NAACL (Short Papers), 2025)

Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs. - Ankush Raut; Xiaofeng Zhu; Maria Leonor Pacheco (CoRR, 2025)

Explaining Hitori Puzzles: Neurosymbolic Proof Staging for Sequential Decisions. - Maria Leonor Pacheco; Fabio Somenzi; Dananjay Srinivas; Ashutosh Trivedi 001 (CoRR, 2025)

Mapping the Course for Prompt-based Structured Prediction. - Matt Pauk; Maria Leonor Pacheco (CoRR, 2025)