7 citations · 7 across the 10 of their papers we have counts for
10 papers
A Generative Grammar Underlying the Voynich Manuscript, the Pastiche Hypothesis: Evidence from Large Language Models
Nicolas Turenne
Background: The Voynich Manuscript is a fifteenth-century codex written in an unknown script whose content remains undeciphered. Previous studies suggest that its statistical prope…
Automated pipeline for herbarium label digitization
Hiba Abbad, Hanane Ariouat, Eva Perez Pimpare +6
Digitized herbarium collections, now comprising over 100 million freely accessible specimen images, have become a critical resource for addressing fundamental questions in ecology…
An Agentic Framework Using Rules and LLMs for Embedding and Annotating Descriptive Document Layouts: A Plant Science Use Case
Nicolas Turenne, Youcef Sklab, Eric Chenin +1
Background: Recent advances in information retrieval (IR) leverage both dense and sparse representations, large language models (LLMs), and specialized retrieval models to improve…
On a Possible Similarity between Gene and Semantic Networks
Nicolas Turenne
In several domains such as linguistics, molecular biology or social sciences, holistic effects are hardly well-defined by modeling with single units, but more and more studies tend…
A Table-Binning Approach for Visualizing the Past
Nicolas Turenne
Large amounts of data are available due to low-cost and high-capacity data storage equipments. We propose a data exploration/visualization method for tabular multi-dimensional, tim…
Duplicate Detection with Efficient Language Models for Automatic Bibliographic Heterogeneous Data Integration
Nicolas Turenne
We present a new method to detect duplicates used to merge different bibliographic record corpora with the help of lexical and social information. As we show, a trivial key is not…
svcR: An R Package for Support Vector Clustering improved with Geometric Hashing applied to Lexical Pattern Discovery
Nicolas Turenne
We present a new R package which takes a numerical matrix format as data input, and computes clusters using a support vector clustering method (SVC). We have implemented an origina…
x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure
Nicolas Turenne, Tien Phan
Relation extraction with accurate precision is still a challenge when processing full text databases. We propose an approach based on cooccurrence analysis in each document for whi…
Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining
Nicolas Turenne, Mathieu Andro, Roselyne Corbière +1
Important data are locked in ancient literature. It would be uneconomic to produce these data again and today or to extract them without the help of text mining technologies. Vespa…
Clustering and Relational Ambiguity: from Text Data to Natural Data
Nicolas Turenne
Text data is often seen as "take-away" materials with little noise and easy to process information. Main questions are how to get data and transform them into a good document forma…