Papers by Solen Quiniou
A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study (2020.lrec-1)
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Salima Mdhaffar, Yannick Estève, Antoine Laurent, Nicolas Hernandez, Richard Dufour, Delphine Charlet, Geraldine Damnati, Solen Quiniou, Nathalie Camelin
| Challenge: | a corpus of spontaneous speech is being developed for educational use . the dataset will be freely available to the research community . |
| Approach: | They propose to use a French speech educational corpus to explore synchronous speech transcription and application in teaching situations. |
| Outcome: | The proposed corpus includes 10 hours of lectures, manually transcribed and segmented . the dataset will be freely available to the research community . |
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health (2026.findings-eacl)
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| Challenge: | Existing benchmarks evaluate biases related to individual social determinants of health (SDoH) but they overlook interactions between these factors and lack context-specific assessments. |
| Approach: | They investigated the relationship between gender and other SDoH in french patient records to determine whether LLMs rely on embedded stereotypes to make gendered decisions. |
| Outcome: | The proposed models can probe stereotypes and make gendered decisions based on the data. |
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain (2024.lrec-main)
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Yanis Labrak, Adrien Bazoge, Oumaima El Khettari, Mickael Rouvier, Pacome Constant Dit Beaufils, Natalia Grabar, Béatrice Daille, Solen Quiniou, Emmanuel Morin, Pierre-Antoine Gourraud, Richard Dufour
| Challenge: | Existing benchmarks for pre-trained language models are limited to only a few languages . a limited number of tasks are evaluated on non-standardized protocols . |
| Approach: | They propose to aggregate diverse downstream tasks into a benchmark to assess PLMs' qualities . they evaluate 8 pre-trained masked language models on general and biomedical-specific data . |
| Outcome: | The proposed benchmark assesses pre-trained language models on 20 diversified tasks. |
AdminSet and AdminBERT: a Dataset and a Pre-trained Language Model to Explore the Unstructured Maze of French Administrative Documents (2025.coling-main)
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| Challenge: | Pre-trained language models are used to analyze documents but administrative texts are unstructured and do not perform well. |
| Approach: | They propose a French pre-trained language model for the administrative domain . they compare it with a general domain language model and a large language model . |
| Outcome: | The proposed model improves performance on administrative and general domains. |
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources (C18-1)
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| Challenge: | Lack of data can be an issue when beginning a new study on historical handwritten documents. |
| Approach: | They propose a character-based decoder for historical handwriting recognition on Italian Comedy Registers . they use untapped data from domains, periods, languages to obtain efficient system . |
| Outcome: | The character-based decoder can be used to learn historical handwriting on Italian Comedy registers . the results show that the system can be obtained by carefully selecting the datasets used . |
Towards a Diagnosis of Textual Difficulties for Children with Dyslexia (L18-1)
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| Challenge: | a study on diagnosing the textual difficulties of children's books is published . it focuses on the passages of the books that are difficult to understand for underage children . |
| Approach: | They propose to diagnose the difficulties appearing in French children's books . they focus on the subject pronouns "il" and "elle" and detect difficult anaphoras . |
| Outcome: | The proposed method detects half of the difficult anaphorical pronouns in french children's books . authors say it is complementary of previous approaches to support dyslexia . |
Improving Text Readability through Segmentation into Rheses (2024.lrec-main)
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| Challenge: | a new study examines the segmentation of sentences into rheses to improve readability for dyslexics . short lines of text can be beneficial for dyslexia sufferers as it limits attention span . however, random line splits can be confusing than helpful . |
| Approach: | They propose to segment sentences into rhythmic and semantic units to improve comprehension . they also use a bilingual dataset to evaluate the efficiency of their approach . |
| Outcome: | The proposed approach achieves an F1 score of 90.0% in English and 91.3% in French . the proposed approach also demonstrates the potential of leveraging prosodic elements . |
Crowdsourcing-based Annotation of the Accounting Registers of the Italian Comedy (L18-1)
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Adeline Granet, Benjamin Hervy, Geoffrey Roman-Jimenez, Marouane Hachicha, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Guillaume Raschia, Françoise Rubellin, Christian Viard-Gaudin
| Challenge: | CIRESFI project aims to reassess a theatrical heritage that has often been considered inferior to that of the two major, royally-privileged theaters. |
| Approach: | They propose a double annotation system for new handwritten historical documents . crowdsourcing platform is set up to perform labeling and transcription of the documents based on budget data . |
| Outcome: | The proposed system is based on a database of 25,250 pages of registers of the Italian Comedy of the 18th century. |