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ORCIDMaria Leonor Pacheco
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- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
[c18]Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco:
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News. ACL (1) 2024: 393-415- [c17]Matt Pauk, Maria Leonor Pacheco:
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes. SemEval@NAACL 2024: 1424-1434 - [i13]Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco:
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News. CoRR abs/2402.14224 (2024) - [i12]Alvin Po-Chun Chen, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, Maria Leonor Pacheco:
Studying the Effects of Collaboration in Interactive Theme Discovery Systems. CoRR abs/2408.09030 (2024) - [i11]Rohan Das, Aditya Chandra, I-Ta Lee, Maria Leonor Pacheco:
Media Framing through the Lens of Event-Centric Narratives. CoRR abs/2410.03151 (2024) - 2023
- [c16]Maria Leonor Pacheco
, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. ACL (Findings) 2023: 5059-5080 - [c15]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:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [i10]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:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i9]Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. CoRR abs/2305.05094 (2023) - [i8]Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari, Ashutosh Trivedi, Maria Leonor Pacheco:
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software. CoRR abs/2311.11979 (2023) - 2022
- [c14]Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser:
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. ACL (1) 2022: 1363-1380 - [c13]Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser:
Hands-On Interactive Neuro-Symbolic NLP with DRaiL. EMNLP (Demos) 2022: 371-378 - [c12]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT 2022: 5821-5839 - [c11]Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru:
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. SP 2022: 51-68 - [e1]Daphne Ippolito, Liunian Harold Li, Maria Leonor Pacheco, Danqi Chen, Nianwen Xue:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL-HLT 2022, Hybrid Event / Seattle, WA, USA, July 10-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-73-5 [contents] - [i7]Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru:
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. CoRR abs/2202.09470 (2022) - [i6]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. CoRR abs/2205.01817 (2022) - 2021
- [j1]Maria Leonor Pacheco, Dan Goldwasser:
Modeling Content and Context with Deep Relational Learning. Trans. Assoc. Comput. Linguistics 9: 100-119 (2021) - [c10]Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser:
Randomized Deep Structured Prediction for Discourse-Level Processing. EACL 2021: 1174-1184 - [c9]Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser:
Identifying Morality Frames in Political Tweets using Relational Learning. EMNLP (1) 2021: 9939-9958 - [c8]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Modeling Human Mental States with an Entity-based Narrative Graph. NAACL-HLT 2021: 4916-4926 - [i5]Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser:
Randomized Deep Structured Prediction for Discourse-Level Processing. CoRR abs/2101.10435 (2021) - [i4]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Modeling Human Mental States with an Entity-based Narrative Graph. CoRR abs/2104.07079 (2021) - [i3]Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser:
Identifying Morality Frames in Political Tweets using Relational Learning. CoRR abs/2109.04535 (2021) - 2020
- [c7]I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser:
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. EMNLP (Findings) 2020: 4962-4972 - [c6]Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser:
Identifying Collaborative Conversations using Latent Discourse Behaviors. SIGdial 2020: 74-78 - [i2]Maria Leonor Pacheco, Dan Goldwasser:
Modeling Content and Context with Deep Relational Learning. CoRR abs/2010.10453 (2020)
2010 – 2019
- 2019
- [c5]Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. AAAI 2019: 9478-9483 - 2018
- [i1]Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols. CoRR abs/1810.04755 (2018) - 2017
- [c4]I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser:
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. SemEval@ACL 2017: 198-202 - 2016
- [c3]Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser:
Adapting Event Embedding for Implicit Discourse Relation Recognition. CoNLL Shared Task 2016: 136-142 - [c2]Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser:
Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. SPNLP@EMNLP 2016: 54-62 - 2015
- [c1]Maria Leonor Pacheco, Kelwin Fernandes, Aldo Porco:
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification. CLEF (Working Notes) 2015
Coauthor Index
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