Gabriele Pergola
26 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(20)
Natural Language Processing
(20)
Applications
(17)
Artificial Intelligence
(11)
Core Methods
(11)
Learning Types Β· Machine Learning
(10)
Core AI
(9)
Deep Learning
(6)
Generation
(6)
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(5)
Healthcare & Medicine
(4)
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Clinical
(3)
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(2)
Keywords
large language model
(4)
information extraction
(4)
text classification
(3)
variational autoencoder
(3)
text generation
(3)
sexism detection
(3)
data augmentation
(3)
event extraction
(2)
opinion mining
(2)
biomedical text
(2)
text simplification
(2)
iterative refinement
(2)
neural topic model
(2)
stance detection
(2)
sentiment analysis
(2)
named entity recognition
(2)
topic modeling
(2)
question answering
(2)
commonsense knowledge
(2)
semantic similarity
(2)
Papers
Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction
EACL 2026
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
ACL 2026
Cascading Large Language Models for Salient Event Graph Generation
NAACL 2025
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
AAAI 2025
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
ACL 2025
IntrEx: A Dataset for Modeling Engagement in Educational Conversations
EMNLP 2025
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
NAACL 2025
DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
ACL 2024
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
EACL 2024
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score
EMNLP 2024
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
NAACL 2024
Society of Medical Simplifiers
EMNLP 2024
Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions
ACL 2023
Event Temporal Relation Extraction with Bayesian Translational Model
EACL 2023
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization
EACL 2023
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
NAACL 2022
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
EMNLP 2022
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
EMNLP 2022
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
NAACL 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
EACL 2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
EACL 2021
Extracting Event Temporal Relations via Hyperbolic Geometry
EMNLP 2021
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
ACL 2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
ACL 2021
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
COLING 2020
Neural Topic Model with Reinforcement Learning
EMNLP 2019