Maria Leonor Pacheco
CS Department - Purdue University
Advisor: Prof. Dan Goldwasser
pachecog [at] purdue [dot] edu
mlpacheco
google scholar
CV
CS Department - Purdue University
Advisor: Prof. Dan Goldwasser
pachecog [at] purdue [dot] edu
mlpacheco
google scholar
CV
I am a PhD. candidate in Computer Science at Purdue University,
where I work with Dr. Dan Goldwasser as part of the Purdue Natural Language Processing Group.
My current research focuses broadly on neural-symbolic methods to model natural language discourse. My domains of interest include argumentative texts, online conversations and narratives.
I am also actively involved in interdisciplinary collaborations with the
Network and Dependable Systems and Security Lab at Northeastern University.
This work focuses on leveraging NLP for network security.
News
- Jun, 2021 Dr. Goldwasser and I will be leading a tutorial on Neural-Symbolic Modeling for NLP at IJCAI 2021 this August
- May, 2021 Honored to receive the 2021 Microsoft Research Dissertation Grant!
- Apr, 2021 I will present our TACL paper "Modeling Content and Context with Deep Relational Learning" at NAACL 2021!
- Mar, 2021 Our paper on "Modeling Human Mental States with an Entity-based Narrative Graph" was accepted to NAACL 2021
- Jan, 2021 This summer, I'll be working with the Language and Intelligence Assistance group, and the Office of Applied Research at MSR
- Jan, 2021 Our paper on "Randomized Deep Structured Prediction for Discourse-level Processing" was accepted to EACL 2021
Publications
Refereed Journals and Conferences (* Indicates co-first authorship)Modeling Content and Context with Deep Relational Learning
ML Pacheco, D GoldwasserIn Transactions of the Association for Computational Linguistics, TACL 2021.
Presented at NAACL 2021
Modeling Human Mental States with an Entity-based Narrative Graph
I-Ta Lee, ML Pacheco, D GoldwasserIn North American Chapter of the Association for Computational Linguistics, NAACL 2021.
Randomized Deep Structured Prediction for Discourse-level Processing
M Widmoser*, ML Pacheco*, J Honorio, D GoldwasserIn European Chapter of the Association for Computational Linguistics, EACL 2021.
Also presented at the EMNLP 2020 Workshop on Structured Prediction for NLP
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations
IT Lee, ML Pacheco, D GoldwasserIn Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2020.
Identifying Collaborative Conversations using Latent Discourse Behaviors
A Jain, ML Pacheco, S Lancette, M Goindani, D GoldwasserIn ACL Special Interest Group on Discourse and Dialogue, SIGDIAL 2020.
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols
S Jero, ML Pacheco, D Goldwasser, C Nita-RotaruIn Innovative Applications of Artificial Intelligence, IAAI 2019.
Neural-Symbolic Modeling for Natural Language Discourse
ML Pacheco, D GoldwasserICML 2020 Workshop on Bridge Between Perception and Reasoning
Leveraging Representation and Inference through Deep Relational Learning
ML Pacheco, I Dalal, D GoldwasserNeurIPS 2018 Workshop on Relational Representation Learning
Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings
IT Lee, M Goindani, C Li, D Jin, K Johnson, X Zhang, ML Pacheco, D GoldwasserIn International Workshop on Semantic Evaluation, SemEval 2017