Gabriele Pergola

Orcid: 0000-0002-7347-2522

According to our database1, Gabriele Pergola authored at least 42 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
When in Doubt, Deliberate: Confidence-Based Routing to Expert Debate for Sexism Detection.
CoRR, December, 2025

Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies.
Comput. Biol. Medicine, 2025

Cascading Large Language Models for Salient Event Graph Generation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

IntrEx: A Dataset for Modeling Engagement in Educational Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

What makes a conversation interesting? Linguistic features predictive of interest in educational conversations between teachers and learners of English.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Multilingual Sexism Detection through Domain Adaptation and Label-Augmented Translation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

Leveraging Model Confidence and Diversity: A Multi-Stage Framework for Sexism Detection.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score.
CoRR, 2024

Society of Medical Simplifiers.
CoRR, 2024

Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance.
CoRR, 2024

Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Multilingual Sexism Identification via Fusion of Large Language Models.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2023
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation.
CoRR, 2023

Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering.
CoRR, 2023

Event Temporal Relation Extraction with Bayesian Translational Model.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Extracting Event Temporal Relations via Hyperbolic Geometry.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Probabilistic neural topic models for text understanding.
PhD thesis, 2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
TDAM: A topic-dependent attention model for sentiment analysis.
Inf. Process. Manag., 2019

Neural Topic Model with Reinforcement Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Detecting Similarities in Mobility Patterns.
Proceedings of the STAIRS 2016, 2016

Gl-learning: an optimized framework for grammatical inference.
Proceedings of the 17th International Conference on Computer Systems and Technologies, 2016

Your Friends Mention It. What About Visiting It?: A Mobile Social-Based Sightseeing Application.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2016

Structural Knowledge Extraction from Mobility Data.
Proceedings of the AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29, 2016


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