Maria Leonor Pacheco
30 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(18)
Machine Learning
(17)
Core AI
(17)
Natural Language Processing
(15)
Core Methods
(12)
Applications
(9)
Learning Types
(7)
Deep Learning
(6)
Understanding
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Representation
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(3)
Keywords
text classification
(3)
moral sentiment
(3)
large language model
(3)
interactive learning
(2)
graph neural network
(2)
argument mining
(2)
topic model
(2)
stance detection
(2)
abstract meaning representation
(2)
knowledge graph
(2)
event embedding
(2)
weakly supervised learning
(2)
social media analysis
(2)
framing analysis
(2)
semantic analysis
(2)
natural language processing
(2)
computational social science
(2)
in-context learning
(2)
text mining
(1)
sentiment analysis
(1)
Papers
A Structured Clustering Approach for Inducing Media Narratives
ACL 2026
Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
ACL 2026
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning
ACL 2026
Lost in Translation, and Found: Detecting and Interpreting Translation Effects
ACL 2026
Mapping the Course for Prompt-based Structured Prediction
EACL 2026
All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing
EMNLP 2025
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
ACL 2025
CLIX: Cross-Lingual Explanations of Idiomatic Expressions
ACL 2025
Cross-Domain Persuasion Detection with Argumentative Features
EMNLP 2025
Dehumanization of LGBTQ+ Groups in Sexual Interactions with ChatGPT
NAACL 2025
Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku
ACL 2025
Identifying Power Relations in Conversations using Multi-Agent Social Reasoning
NAACL 2025
Accelerating UMR Adoption: Neuro-Symbolic Conversion from AMR-to-UMR with Low Supervision
COLING 2024
A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP + CSS Research
NAACL 2024
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
ACL 2024
Media Framing through the Lens of Event-Centric Narratives
EMNLP 2024
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
SemEval 2024
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
ACL 2023
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
EMNLP 2023
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
NAACL 2022
Hands-On Interactive Neuro-Symbolic NLP with DRaiL
EMNLP 2022
Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate
EMNLP 2022
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
ACL 2022
Identifying Morality Frames in Political Tweets using Relational Learning
EMNLP 2021
Modeling Human Mental States with an Entity-based Narrative Graph
NAACL 2021
Randomized Deep Structured Prediction for Discourse-Level Processing
EACL 2021
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations
EMNLP 2020
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
AAAI 2019
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings
SemEval 2017
Adapting Event Embedding for Implicit Discourse Relation Recognition
CoNLL 2016