Maria Leonor Pacheco

According to our database, Maria Leonor Pacheco authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

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, Maria Leonor Pacheco

CoRR, 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, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

CoRR, 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, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections.

Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Hands-On Interactive Neuro-Symbolic NLP with DRaiL.

Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks.

Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Modeling Content and Context with Deep Relational Learning.

Maria Leonor Pacheco, Dan Goldwasser

Trans. Assoc. Comput. Linguistics, 2021

Modeling Human Mental States with an Entity-based Narrative Graph.

I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Identifying Morality Frames in Political Tweets using Relational Learning.

Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Randomized Deep Structured Prediction for Discourse-Level Processing.

Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Identifying Collaborative Conversations using Latent Discourse Behaviors.

Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations.

I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols.

Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings.

I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016

Introducing DRAIL - a Step Towards Declarative Deep Relational Learning.

Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser

Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, 2016

Adapting Event Embedding for Implicit Discourse Relation Recognition.

Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

2015

Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification.

Maria Leonor Pacheco, Kelwin Fernandes, Aldo Porco

Proceedings of the Working Notes of CLEF 2015, 2015