Paul Trust
5 papers · 2022–2022 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive
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Research topics
Natural Language Processing
(5)
Applications
(5)
Deep Learning
(3)
Machine Learning
(3)
Architectures
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Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Resources & Methods
(2)
Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
class imbalance
(2)
probabilistic modeling
(1)
text classification
(1)
opinion mining
(1)
model calibration
(1)
syntactic parsing
(1)
semantic structure
(1)
determinantal point process
(1)
semantic similarity
(1)
variational autoencoder
(1)
premise selection
(1)
causal relation
(1)
cosine similarity
(1)
quality assessment
(1)
syntactic structure
(1)
contextualized embedding
(1)
sentence transformer
(1)
event classification
(1)
graph neural network
(1)
adverse drug event
(1)
Papers
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions
EMNLP 2022
GGNN@Causal News Corpus 2022:Gated Graph Neural Networks for Causal Event Classification from Social-Political News Articles
EMNLP 2022
LDPP at the FinNLP-2022 ERAI Task: Determinantal Point Processes and Variational Auto-encoders for Identifying High-Quality Opinions from a pool of Social Media Posts
EMNLP 2022
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet
COLING 2022
UCCNLP@SMM4H’22:Label distribution aware long-tailed learning with post-hoc posterior calibration applied to text classification
COLING 2022