--- title: "Thomas Gerald — author profile and papers — Elamur Research" description: "Thomas Gerald, Centre National de la Recherche Scientifique: 2 papers on Elamur Research (2026), h-index 6 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/thomas-gerald/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/thomas-gerald/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Thomas Gerald # Thomas Gerald Thomas Gerald has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Benedictus Kent Rachmat](https://md.research.elamur.ai/free/en/authors/benedictus-kent-rachmat/), [Luc Pommeret](https://md.research.elamur.ai/free/en/authors/luc-pommeret/), [Patrick Paroubek](https://md.research.elamur.ai/free/en/authors/patrick-paroubek/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5062311074) · [ORCID](https://orcid.org/0000-0001-7510-9690) · [**h-index 6**](https://openalex.org/authors/A5062311074) · [48 works](https://openalex.org/works?filter=author.id:A5062311074) · [120 citations](https://openalex.org/works?filter=author.id:A5062311074&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/thomas-gerald/#papers) · 🔗 Cited 3 times in our library · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12251](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12251) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Thomas+Gerald) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Thomas+Gerald) · [dblp](https://dblp.org/search?q=Thomas+Gerald) · [ACL Anthology](https://aclanthology.org/search/?q=Thomas+Gerald) ## Affiliations [🔬**Laboratoire Interdisciplinaire des Sciences du Numérique** Gif-sur-Yvette · France 2022–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/labs/laboratoire-interdisciplinaire-des-sciences-du-numerique/) · [🎓**Université Paris-Saclay** Gif-sur-Yvette · France 2022–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/universite-paris-saclay/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2022–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Sorbonne Université** Paris · France 2016–2023 · 6 papersEmployment since 2016](https://md.research.elamur.ai/free/en/universities/sorbonne-universite/) · [🔬**LIP6** Paris · France 2017–2023 · 4 papers](https://md.research.elamur.ai/free/en/labs/lip6/) · [🔬**Institut Systèmes Intelligents et de Robotique** Paris · France 2022 · 2 papers](https://md.research.elamur.ai/free/en/labs/institut-systemes-intelligents-et-de-robotique/) · [🎓**Université Pierre-et-Marie-Curie** Paris · France 2017–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/universite-pierre-et-marie-curie/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/thomas-gerald/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction](https://md.research.elamur.ai/free/en/papers/pommeret-2026-llm-based-atomic-propositions-help/)** *(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?](https://md.research.elamur.ai/free/en/papers/rachmat-2026-semantic-syntactic-lexical-what-makes/)** *(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 ↗](https://aclanthology.org/2024.lrec-main.808/) Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yet**Thomas Gerald et al.*2024 · 2 citations* 2. **[QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings ↗](https://aclanthology.org/2025.acl-srw.89/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yet**Benedictus Kent Rachmat et al.*2025 · 1 citation* 3. **[LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction](https://md.research.elamur.ai/free/en/papers/pommeret-2026-llm-based-atomic-propositions-help/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Luc Pommeret, Thomas Gerald, Patrick Paroubek, et al.*2026* 4. **[Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?](https://md.research.elamur.ai/free/en/papers/rachmat-2026-semantic-syntactic-lexical-what-makes/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.*2026* 5. **[Plongement des constituants pour la représentation sémantique des phrases ↗](https://aclanthology.org/2025.jeptalnrecital-taln.37/) Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux · no summary yet**Eve Sauvage et al.*2025* 6. **[CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle ↗](https://aclanthology.org/2023.jeptalnrecital-coria.16/) Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA) · no summary yet**Nam Le Hai et al.*2023* 7. **[Recherche d'information conversationnelle ↗](https://aclanthology.org/2023.jeptalnrecital-projet.8/) Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 6 : projets · no summary yet**Laure Soulier et al.*2023* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Benedictus Kent Rachmat](https://md.research.elamur.ai/free/en/authors/benedictus-kent-rachmat/) - [Luc Pommeret](https://md.research.elamur.ai/free/en/authors/luc-pommeret/) - [Patrick Paroubek](https://md.research.elamur.ai/free/en/authors/patrick-paroubek/) - [Takuya Nakamura](https://md.research.elamur.ai/free/en/authors/takuya-nakamura/) - [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/): [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 2026](https://md.research.elamur.ai/free/en/venues/kallm/2026/) - [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/): [SLiDE 2026](https://md.research.elamur.ai/free/en/venues/slide/2026/) - Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA) - Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 6 : projets - Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux - Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026