Papers by BLAST members
CLIX: Cross-Lingual Explanations of Idiomatic Expressions
A Gluck, K von der Wense, ML Pacheco
(2024)
[Pre-print]
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing
A Deshmukh, A Umadi, D Srinivas, ML Pacheco
(2024)
[Pre-print]
Studying the Effects of Collaboration in Interactive Theme Discovery Systems
A Chen, D Srinivas, A Barry, M Seniw, ML Pacheco
(2024)
[Pre-print]
[Code & Data]
Show, Don’t Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis
J Komp, D Srinivas, ML Pacheco, A Trivedi
(2024)
[Pre-print]
Identifying Power Relations in Conversations using Multi-Agent Social Reasoning
Z Wu, L Morgernsten, ML Pacheco, D Goldwasser
Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025, to appear)
Media Framing through the Lens of Event-Centric Narratives
R Das, A Chandra, IT Lee, ML Pacheco
Proceedings of the 6th Workshop on Narrative Understanding
[Paper]
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
A Leto, E Pickens, CD Needell, D Rothschild, ML Pacheco
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
[Paper]
[Code & Data]
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 2024)
[Paper]
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)
[Paper]
[Code]
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)
[Paper]
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
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, to appear)
[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]