cv
Basics
| Name | Deborah Dore |
| deborah.dore@outlook.com | |
| Profiles | GitHub · LinkedIn · Google Scholar |
| About | PhD candidate in NLP. Working on grounding language models in structured argumentative knowledge, from domain-adapted pre-training to argument-guided retrieval, so their reasoning becomes more reliable. |
| Availability | Available for a 3-6 months internship starting May–July 2027. |
Education
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2024.11 - Present Nice, France
PhD
Université Côte d'Azur, CNRS, INRIA, I3S
Artificial Intelligence
- Research project: Argument Mining in Political Debates
- Advisors: S. Villata, E. Cabrio
- Keywords: NLP | Argument Mining | Political Debates
- Research scholarship: EFELIA scholarship for international mobility
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2021.09 - 2024.05 Rome, Italy
Master
Sapienza Università di Roma
Computer Science
- Final evaluation: 110/110 cum laude, GPA: 4.0
- Thesis project: Argument Representation using Knowledge Graphs
- Erasmus+ scholarship: 6-month exchange at Universidade do Porto, Portugal
- Research scholarship: 6-month research visit at CNRS, France
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2017.09 - 2021.04 Turin, Italy
Bachelor
Università degli Studi di Torino
Computer Science
- Final evaluation: 110/110, GPA: 3.7
- Thesis project: Full-stack access control application with Spring Boot and ReactJS
- Erasmus+ scholarship: 6-month exchange at Università Tecnica din Cluj-Napoca, Romania
Publications
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2026 Retrieving Relations, Detecting Fallacies: A RAG Approach To Political Debate Analysis
D. Dore, G. Damo, E. Cabrio, S. Villata
Under review @ EACL 2027
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2026 -
2026 Multimodal Stance Detection in Controversial Tweets
D. Dore, D. Blassio, E. Cabrio, S. Villata
COMMA 2026
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2025 Repairing Fallacious Argumentation in Political Debates
P. Goffredo, D. Dore, E. Cabrio, S. Villata
ECA 2025
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2025 DISPUTool 3.0: Fallacy Detection and Repairing in Argumentative Political Debates
P. Goffredo, D. Dore, E. Cabrio, S. Villata
ACL 2025
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2025 Leveraging Graph Structural Knowledge to Improve Argument Relation Prediction in Political Debates
D. Dore, S. Faralli, S. Villata
ArgMining@ACL 2025
Experience
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2024.11 - Present Sophia Antipolis, France
Teaching Assistant
Université Côte d'Azur, Centrale Méditerranée
- Designed and delivered university courses in NLP and Data Analysis for 100+ students.
- Built hands-on labs and assessments covering NLP pipelines, NoSQL databases, and data visualization.
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2023.09 - 2024.02 Sophia Antipolis, France
Research Intern
CNRS, WIMMICS Team
- Fine-tuned transformer-based models for argument classification on political debate corpora, pushing state-of-the-art performance by +4% F1.
- Built and evaluated NLP pipelines for relation extraction using Knowledge Graphs and LLMs.
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2020.09 - 2021.08 Turin, Italy
Software Developer
Certimeter Group (Lutech), client: Blue Reply
- Designed and deployed 50+ production microservices in Spring Boot and Docker, migrating legacy monolithic systems as part of a large-scale enterprise modernization initiative.
- Built real-time data ingestion pipelines using Apache Kafka at scale.
- Developed full-stack applications with Spring Boot and ReactJS (internship, Sep 2020 – Jan 2021).
Service & Outreach
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Reviewer
ACL, AAAI, EACL, ESWC, ISWC, IJCAI
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2025.08 - 2026.09 Nice, France
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2025.07 - 2025.08 Vienna, Austria
Volunteer
Association for Computational Linguistics (ACL 2025)
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2020.09 - 2021.08 Turin, Italy
Skills
| Languages & Programming | Python, Java, JavaScript, SQL, R, C |
| ML & NLP | PyTorch, TensorFlow, HuggingFace Transformers, LangChain |
| Data & Engineering | PySpark, Apache Kafka, Spring Boot, ReactJS |
| DevOps & Cloud | Docker, AWS, Git |
| HPC | SLURM, multi-GPU training, Jean Zay |
| Databases | SQL, MongoDB, ChromaDB |
| Languages | Italian (native), English (C1 — IELTS 7.5), French (B2) |
Certificates
| Model Context Protocol: Advanced Topics | ||
| Anthropic — Claude Academy | 2026-10 |
| Introduction to Model Context Protocol | ||
| Anthropic — Claude Academy | 2026-09 |
| AWS Academy Cloud Foundations | ||
| Amazon Web Services Training and Certification | 2022-05 |