Karen Pinel-Sauvagnat

4 papers · 2019–2025 · 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

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) ❓ The Questioner

Venues

NAACL (2) SemEval (2)

Top co-authors

Gilles Hubert (4) Nihed Bendahman (2) Jose Moreno (1) Diego Ortiz (1) Mokhtar Boumedyen Billami (1) Mokhtar Billami (1) Yoann Pitarch (1) Lynda Tamine (1) José G. Moreno (1)

Research topics

Machine Learning (3) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Architectures (2) Interdisciplinary (1) Natural Language Processing (1) Applications (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Linguistics (1) Resources & Methods (1)

Keywords

text classification (2) hyperpartisan news detection (1) canonical correlation analysis (1) multi-view learning (1) hallucination detection (1) cosine similarity (1) sentence embedding (1) abstractive summarization (1) legal document (1) factual hallucination (1) query representation (1) neural network (1) reference summary (1) embedding generation (1) session-aware learning (1) unsupervised learning (1) entity-driven approach (1)

Papers

Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization NAACL 2025 IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? SemEval 2024 Exploring the Value of Multi-View Learning for Session-Aware Query Representation NAACL 2022 Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers SemEval 2019