Alert button
Picture for Philippe Thomas

Philippe Thomas

Alert button

CRAN

A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

Add code
Bookmark button
Alert button
Mar 27, 2024
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum

Viaarxiv icon

MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset

Add code
Bookmark button
Alert button
May 15, 2023
Leonhard Hennig, Philippe Thomas, Sebastian Möller

Figure 1 for MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Figure 2 for MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Figure 3 for MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Figure 4 for MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Viaarxiv icon

Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective

Add code
Bookmark button
Alert button
Aug 03, 2022
Lisa Raithel, Philippe Thomas, Roland Roller, Oliver Sapina, Sebastian Möller, Pierre Zweigenbaum

Figure 1 for Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Figure 2 for Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Figure 3 for Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Figure 4 for Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Viaarxiv icon

SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities

Add code
Bookmark button
Alert button
Apr 08, 2020
Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig

Figure 1 for SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities
Figure 2 for SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities
Figure 3 for SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities
Viaarxiv icon

A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events

Add code
Bookmark button
Alert button
Apr 07, 2020
Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig

Figure 1 for A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Figure 2 for A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Figure 3 for A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Figure 4 for A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Viaarxiv icon

Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process

Add code
Bookmark button
Alert button
Apr 05, 2018
Philippe Thomas, Hind Bril El Haouzi, Marie-Christine Suhner, André Thomas, Emmanuel Zimmermann, Mélanie Noyel

Figure 1 for Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process
Figure 2 for Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process
Figure 3 for Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process
Figure 4 for Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process
Viaarxiv icon

Clickbait Identification using Neural Networks

Add code
Bookmark button
Alert button
Oct 24, 2017
Philippe Thomas

Figure 1 for Clickbait Identification using Neural Networks
Figure 2 for Clickbait Identification using Neural Networks
Figure 3 for Clickbait Identification using Neural Networks
Figure 4 for Clickbait Identification using Neural Networks
Viaarxiv icon

An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry

Add code
Bookmark button
Alert button
Oct 23, 2017
Cyrine Selma, Hind Haouzi, Philippe Thomas, Jonathan Gaudreault, Michael Morin

Figure 1 for An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Figure 2 for An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Figure 3 for An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Figure 4 for An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Viaarxiv icon

A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study

Add code
Bookmark button
Alert button
Oct 11, 2017
Emmanuel Zimmermann, Hind Haouzi, Philippe Thomas, André Thomas, Melanie Noyel

Figure 1 for A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study
Figure 2 for A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study
Figure 3 for A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study
Figure 4 for A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study
Viaarxiv icon

How deals with discrete data for the reduction of simulation models using neural network

Add code
Bookmark button
Alert button
Jun 10, 2009
Philippe Thomas, André Thomas

Figure 1 for How deals with discrete data for the reduction of simulation models using neural network
Figure 2 for How deals with discrete data for the reduction of simulation models using neural network
Figure 3 for How deals with discrete data for the reduction of simulation models using neural network
Figure 4 for How deals with discrete data for the reduction of simulation models using neural network
Viaarxiv icon