Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News (2024)
A Leto, E Pickens, CD Needell, D Rothschild, ML Pacheco
[Paper]
A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP + CSS Research
A Leto, S Roy, A Hoyle, DE Acuna, ML Pacheco
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS, to appear)
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
M Pauk and ML Pacheco
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024, to appear)
Accelerating UMR Adoption: Neuro-Symbolic Conversion from AMR-to-UMR with Low Supervision
C Post, M McGregor, ML Pacheco and A Palmer
Proceedings of the 5th International Workshop on Designing Meaning Representations (DMR 2024, to appear)
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
[Paper]
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
[Paper]
Queer In AI: A Case Study in Community-Led Participatory AI (🏆 Best Paper Award)
Organizers of Queer in AI
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2023)
[Paper]
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: Language Advances (DaSH @ EMNLP 2022)
[Paper]
[Code]
Hands-On Interactive Neuro-Symbolic NLP with DRaiL
ML Pacheco, S Roy, D Goldwasser
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP-demo 2022)
[Paper]
[Code]
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 Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2022)
[Paper]
[Code]
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 Linguistics (ACL 2022)
[Paper]
[Code]
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
ML Pacheco, M von Hippel, B Weintraub, D Goldwasser, C Nita-Rotaru
2022 IEEE Symposium on Security and Privacy (SP)
[Paper]
[Code]
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 Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2021)
[Paper]
[Code]
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 Processing (EMNLP 2021)
[Paper]
[Code]
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 Association for Computational Linguistics (EACL 2021)
[Paper]
[Code]
Modeling Content and Context with Deep Relational Learning
ML Pacheco, D Goldwasser
Transactions of the Association for Computational Linguistics, Volume 9 (TACL)
[Paper]
[Code]
Identifying Collaborative Conversations using Latent Discourse Behaviors
A Jain, ML Pacheco, S Lancette, M Goindani, D Goldwasser
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2020)
[Paper]
[Code]
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
[Paper]
[Code]
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
S Jero, ML Pacheco, D Goldwasser, C Nita-Rotaru
Proceedings of the Thirty-First AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI 2019)
[Paper]
[Code]
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, D Goldwasser
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
[Paper]
[Code]
Introducing DRAIL – a Step Towards Declarative Deep Relational Learning
X Zhang, ML Pacheco, C Li, D Goldwasser
Proceedings of the First Workshop on Structured Prediction for NLP (SPNLP @ EMNLP 2016)
[Paper]
[Code]
Adapting Event Embedding for Implicit Discourse Relation Recognition
ML Pacheco, IT Lee, X Zhang, AK Zehady, P Daga, D Jin, A Parolia, D Goldwasser
Proceedings of the CoNLL-16 shared task
[Paper]
[Code]