Nick Beauchamp
7 papers · 2022–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Natural Language Processing
(6)
Applications
(5)
Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Core Methods
(2)
Models
(2)
Understanding
(2)
Interdisciplinary
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Linguistics
(1)
Keywords
text classification
(2)
media bias detection
(2)
stance detection
(2)
sentiment analysis
(2)
few-shot learning
(2)
named entity recognition
(1)
text generation
(1)
narrative generation
(1)
intent classification
(1)
event ordering
(1)
event detection
(1)
knowledge graph
(1)
generative model
(1)
latent variable
(1)
temporal graph
(1)
pre-trained language model
(1)
event extraction
(1)
discourse structure
(1)
rhetorical relation
(1)
entity recognition
(1)
Papers
MOKA: Moral Knowledge Augmentation for Moral Event Extraction
NAACL 2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
EMNLP 2024
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison
EMNLP 2023
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting
EMNLP 2023
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
EMNLP 2022
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
NAACL 2022
Sentence-level Media Bias Analysis Informed by Discourse Structures
EMNLP 2022