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Maria 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 - [i15]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) - [i14]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) - [i13]Rohan Das, Aditya Chandra, I-Ta Lee, Maria Leonor Pacheco:
Media Framing through the Lens of Event-Centric Narratives. CoRR abs/2410.03151 (2024) - [i12]Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas, Maria Leonor Pacheco:
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing. CoRR abs/2410.17355 (2024) - [i11]John Komp, Dananjay Srinivas, Maria Leonor Pacheco, Ashutosh Trivedi:
Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis. CoRR abs/2411.01750 (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
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
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
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. ACL (1) 2022: 1363-1380 - [c13]Maria Leonor Pacheco
Hands-On Interactive Neuro-Symbolic NLP with DRaiL. EMNLP (Demos) 2022: 371-378 - [c12]Maria Leonor Pacheco
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT 2022: 5821-5839 - [c11]Maria Leonor Pacheco
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
Modeling Content and Context with Deep Relational Learning. Trans. Assoc. Comput. Linguistics 9: 100-119 (2021) - [c10]Manuel Widmoser, Maria Leonor Pacheco
Randomized Deep Structured Prediction for Discourse-Level Processing. EACL 2021: 1174-1184 - [c9]Shamik Roy, Maria Leonor Pacheco
Identifying Morality Frames in Political Tweets using Relational Learning. EMNLP (1) 2021: 9939-9958 - [c8]I-Ta Lee, Maria Leonor Pacheco
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
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. EMNLP (Findings) 2020: 4962-4972 - [c6]Ayush Jain, Maria Leonor Pacheco
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
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
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
Adapting Event Embedding for Implicit Discourse Relation Recognition. CoNLL Shared Task 2016: 136-142 - [c2]Xiao Zhang, Maria Leonor Pacheco
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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last updated on 2024-12-13 19:15 CET by the dblp team
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