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Maria Leonor Pacheco
Titolo
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Anno
Tackling fake news detection by continually improving social context representations using graph neural networks
N Mehta, ML Pacheco, D Goldwasser
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
312022
Modeling Content and Context with Deep Relational Learning
ML Pacheco, D Goldwasser
Transactions of the Association for Computational Linguistics 9, 100-119, 2021
292021
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification.
ML Pacheco, K Fernandes, A Porco
CLEF (Working Notes), 2015
282015
Leveraging textual specifications for grammar-based fuzzing of network protocols
S Jero, ML Pacheco, D Goldwasser, C Nita-Rotaru
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9478-9483, 2019
262019
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
ML Pacheco, M von Hippel, B Weintraub, D Goldwasser, C Nita-Rotaru
IEEE Symposium on Security and Privacy (SP), 962-979, 2022
23*2022
Identifying Morality Frames in Political Tweets using Relational Learning
S Roy, ML Pacheco, D Goldwasser
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
212021
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
ML Pacheco, T Islam, M Mahajan, A Shor, M Yin, L Ungar, D Goldwasser
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
202022
Weakly-supervised modeling of contextualized event embedding for discourse relations
IT Lee, ML Pacheco, D Goldwasser
Findings of the Association for Computational Linguistics: EMNLP 2020, 4962-4972, 2020
142020
Queer in AI: a case study in community-led participatory AI
OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
102023
Introducing DRAIL–a step towards declarative deep relational learning
X Zhang, ML Pacheco, C Li, D Goldwasser
Proceedings of the Workshop on Structured Prediction for NLP, 54-62, 2016
82016
Randomized Deep Structured Prediction for Discourse-Level Processing
M Widmoser, ML Pacheco, J Honorio, D Goldwasser
Proceedings of the 16th Conference of the European Chapter of the …, 2021
62021
Purduenlp at semeval-2017 task 1: Predicting semantic textual similarity with paraphrase and event embeddings
IT Lee, M Goindani, C Li, D Jin, K Johnson, X Zhang, ML Pacheco, ...
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
62017
Adapting event embedding for implicit discourse relation recognition
ML Pacheco, IT Lee, X Zhang, AK Zehady, P Daga, D Jin, A Parolia, ...
Proceedings of the CoNLL-16 shared task, 136-142, 2016
62016
Interactive concept learning for uncovering latent themes in large text collections
ML Pacheco, T Islam, L Ungar, M Yin, D Goldwasser
Findings of the Association for Computational Linguistics: ACL 2023, 5059–5080, 2023
42023
Interactively uncovering latent arguments in social media platforms: A case study on the covid-19 vaccine debate
ML Pacheco, T Islam, L Ungar, M Yin, D Goldwasser
Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop …, 2022
42022
Modeling Human Mental States with an Entity-based Narrative Graph
IT Lee, ML Pacheco, D Goldwasser
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
32021
Identifying Collaborative Conversations using Latent Discourse Behaviors
A Jain, ML Pacheco, S Lancette, M Goindani, D Goldwasser
Proceedings of the SIGdial 2020 Conference, 74–78, 2020
32020
Leveraging Representation and Inference through Deep Relational Learning
ML Pacheco, I Dalal, D Goldwasser
NeurIPS Workshop on Relational Representation Learning, 2018
12018
Framing in the Presence of Supporting Data: A Case Study in US Economic News
A Leto, E Pickens, CD Needell, D Rothschild, ML Pacheco
arXiv preprint arXiv:2402.14224, 2024
2024
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
D Srinivas, R Das, S Tizpaz-Niari, A Trivedi, ML Pacheco
Proceedings of the Natural Legal Language Processing Workshop 2023, 230–243, 2023
2023
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Articoli 1–20