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Thomas Gerald

Thomas Gerald has 2 papers in our library, in 2026, most of them on Question answering; often with Benedictus Kent Rachmat, Luc Pommeret, Patrick Paroubek.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 6 · 48 works · 120 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #12251

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Laboratoire Interdisciplinaire des Sciences du NumériqueGif-sur-Yvette · France2022–2026 · 24 paperscurrent🎓Université Paris-SaclayGif-sur-Yvette · France2022–2026 · 14 paperscurrent🔬Centre National de la Recherche ScientifiqueParis · France2022–2026 · 10 paperscurrent🎓Sorbonne UniversitéParis · France2016–2023 · 6 papersEmployment since 2016🔬LIP6Paris · France2017–2023 · 4 papers🔬Institut Systèmes Intelligents et de RobotiqueParis · France2022 · 2 papers🎓Université Pierre-et-Marie-CurieParis · France2017–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Question answering · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction (2026)
    Building knowledge graphs from text requires pulling (subject, relation, object) triplets out of dense sentences.
  2. Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity? (2026)
    The paper asks which kind of synthetic variation actually helps question answering models when labelled data is scarce.

All works

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

  1. Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetThomas Gerald et al.2024 · 2 citations
  2. QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yetBenedictus Kent Rachmat et al.2025 · 1 citation
  3. LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet ExtractionKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Luc Pommeret, Thomas Gerald, Patrick Paroubek, et al.2026
  4. Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?Workshop on Structured Linguistic Data and Evaluation (SLiDE)Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.2026
  5. Plongement des constituants pour la représentation sémantique des phrases ↗Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux · no summary yetEve Sauvage et al.2025
  6. CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle ↗Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA) · no summary yetNam Le Hai et al.2023
  7. Recherche d'information conversationnelle ↗Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 6 : projets · no summary yetLaure Soulier et al.2023

 Co-authors here

5 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.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

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