Research

Research Interests

  • Digital Humanities
  • Information Extraction
  • Information Retrieval
  • Knowledge Management
  • Semantic Annotation
  • Search Interfaces
  • Visualisation

Thématiques de recherche

  • Humanités Numériques
  • Extraction d'informations
  • Recherche d'informations
  • Gestion des connaissances
  • Annotation sémantique
  • Interfaces de recherche
  • Visualisation

Projects

Current projects

ANR InSciM - Modelling Uncertainty in Science
Post-doctoral researcher
2024 - Present

The ANR InSciM project aims to study uncertainty in science through ontological and linguistic modelling of this notion from datasets of articles in different disciplines. The objectives are to propose a linguistic model of the expression of uncertainty in scientific articles, in order to propose a tool to identify and classify these phenomena present in papers in different disciplines in Social Sciences and Humanities (SSH) and in Science, Technology, and Medicine (STM).

Past projects

EMONTAL - Extraction et Modélisation Ontlogique des Acteurs et Lieux pour la valorisation du patrimoine de Bourgogne Franche-Comté
Ph.D. student
2020 - 2024

The objective of the EMONTAL project is to propose a methodology to automatically process documentary and archive collections of heterogeneous natures (newspapers, chronicles, administrative documents, reports, etc.) for the purpose of heritage enhancement dedicated to a given socio-historical context. historical context. This is based on the development of textual analyses, which fall within the field of Automatic Language Processing and discourse analysis.


Publications

Selected publications

2024

Gutehrlé, N. (2024). Semantic Search in Archive Collections Through Interpretable and Adaptable Relation Extraction About Person and Places. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald & I. Ounis (Éd.), Advances in Information Retrieval (p. 315-318). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56069-9_37

2023

Gutehrlé, N., & Atanassova, I. (2023). Comprendre les archives : vers de nouvelles interfaces de recherche reposant sur l’annotation sémantique des documents Understanding Archives : Towards New Research Interfaces Relying on the Semantic Annotation of Documents. CiDE.23 : Document et archivage : pratiques formelles et informelles. https://hal.science/hal-04523110 https://hal.science/hal-04523110

2022

Gutehrlé, N., Doucet, A., & Jatowt, A. (2022). Archive TimeLine Summarization (ATLS): Conceptual Framework for Timeline Generation over Historical Document Collections. Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 13-23. https://aclanthology.org/2022.latechclfl-1.3 https://aclanthology.org/2022.latechclfl-1.3/

Gutehrlé, N., & Atanassova, I. (2022). Processing the structure of documents: Logical Layout Analysis of historical newspapers in French. Journal of Data Mining & Digital Humanities, NLP4DH. https://doi.org/10.46298/jdmdh.9093 https://jdmdh.episciences.org/9614/pdf

Gutehrlé, N., Harlamov, O., Karimi, F., Wei, H., Jean-Caurant, A., & Pivovarova, L. (2021). SpaceWars: A Web Interface for Exploring the Spatio-temporal Dimensions of WWI Newspaper Reporting. HistoInformatics 2021 – 6th International Workshop on Computational History. https://ceur-ws.org/Vol-2981/paper3.pdf


Current teaching activities

For past teaching activities and master thesis supervision, see CV.

Teaching assistant
Msc "Langage et Cognition dans la Société de
l'Information" (LACSI)

Université de Bourgogne

  • Computational Linguistics (tutorial classes)

URFIST de Lyon

  • Initiation to document redaction with LaTeX (tutorial classes)

Teaching assistant
Msc "Langues, Littératures et Civilisations Etrangères et Régionales" (LLCER), specialty Natural Language Processing
Université de Franche-Comté

  • Phonetic modelling (tutorial and lecture classes)
  • Cognitive methods and Machine Learning (tutorial classes)
  • Software engineering for NLP (tutorial classes)
  • Scientific writing workshop (tutorial classes)
  • Advanced Programming (tutorial classes)

Popularisation of science

For the full list of popularisation of science events and articles, see CV.