From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9Artificial Intelligence · 2 works Computer Science · 2 works Psychology · 1 work Social Psychology · 1 work Social Sciences · 1 work Sociology and Political Science · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work Philosophy · 1 work

🧭 Topics 1Discourse analysis · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

Antisocial Behavior Prediction: A Survey and Practical Guide (2026 · 1 citation)
Most research on harmful online behavior detects hate speech, harassment or trolling only after it has been posted.
A Topicality-Driven QUD Model for Discourse Processing (2025)
QUD-tree annotation, which models discourse as one tree of questions, has so far reached only moderate inter-annotator agreement.

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

CyberAgressionAdo-v1: a Dataset of Annotated Online Aggressions in French Collected through a Role-playing Game ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetAnaïs Ollagnier et al.2022 · 15 citations
CyberAgressionAdo-v2: Leveraging Pragmatic-Level Information to Decipher Online Hate in French Multiparty Chats ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetOllagnier, Anais2024 · 8 citations
CyberAgressionAdo-Large: French Multiparty Chat Dataset to Address Online Hate ↗Association pour le Traitement Automatique des Langues · no summary yetAnaïs Ollagnier et al.2024 · 2 citations
Antisocial Behavior Prediction: A Survey and Practical GuideWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAnaïs Ollagnier2026 · 1 citation
Impact of the nature and size of the training set on performance in the automatic detection of named entities (Impact de la nature et de la taille des corpus d'apprentissage sur les performances dans la détection automatique des entités nommées) [in French] ↗Proceedings of TALN 2014 (Volume 2: Short Papers) · no summary yetAnaïs Ollagnier et al.2014 · 1 citation
A Topicality-Driven QUD Model for Discourse ProcessingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Yingxue Fu, Mark-Jan Nederhof, Anais Ollagnier2025

Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL): SIGDIAL 2025
Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026
Association pour le Traitement Automatique des Langues
Proceedings of TALN 2014 (Volume 2: Short Papers)
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Proceedings of the Thirteenth Language Resources and Evaluation Conference

Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 31 October 2026

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🧑‍🔬 Anais Ollagnier

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Anais Ollagnier

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by