Jacques Fize

Ph.D. in Computer Science

Departement, Organism Team DM2L in the LIRIS Laboratory, Institut National des Sciences Appliquées (INSA)

Fields of Interest Text-Mining, Information Retrieval, NLP

E-Mail jacques[dot]fize[at]insa-lyon.fr

Education


Ph.D in Computer Science

Subject: Heterogeneous textual data matching based on spatial information

University of Montpellier, France

Thesis : Download here

2019

Master Degree in Computer Science

Specialization: Natural Language Proccessing and Image Processing

University of Caen Normandie, France

2016

Bachelor Degree in Computer Science

University of Caen Normandie, France

2014

Experience


PhD Student at Cirad

Even if Information Retrieval (IR) systems keep giving satisfying results, IR through heterogeneous data is a difficult task. The objective of this thesis is to propose an original approach of textual data representation using thematic, spatial and temporal information. Proposed methods will rely on interactive approaches with the users (\textit{e.g.} Active Learning, Relevance Feedback) to improve IR systems.

Official Description: www.theses.fr/s174729

October 2016 - 2019

Intership at Orange

We conceived a custom knowledge database using various sources from the LOD such as Wikidata, Geonames, DBpedia. Each entity stored is associated with a concept (DBpedia ontology) and various data such as : multilingual labels, coordinates, birth/death date, etc.The resulting database can be queried using a custom language (similar to SQL).
March-August 2016

Publications


[2019]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Mapping Heterogeneous Textual Data: a Multidimensional Approach based on Spatiality and Theme 6th International Conference on INTERNET SCIENCE (INSCI 2019), Perpignan, France, December, 2-5, 2019 (To appear)

[2019]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Matching heterogeneous textual data using spatial features Inteligent Data Analysis Journal (To appear)

[2018]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Matching heterogeneous textual data using spatial features 13th International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-18)

[2018]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Gemedoc : A Text Similarity Annotation Platform International Conference on Applications of Natural Language to Information Systems. Springer, Cham, 2018

[2017]Jacques Fize, Gaurav Shrivastava GeoDict : an integrated gazetteer Proceedings of Language, Ontology, Terminology and Knowledge Structures Workshop (LOTKS 2017) : Association for Computational Linguistics

[2017]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Gemedoc : Un outil pour annoter les correspondances entre les documents Actes de l’atelier EXCES - EXtraction de Connaissances à partir de données Spatialisées, Spatial Analysis and GEOmatics 2017

[2017]Jacques Fize, Mathieu Roche, Maguelonne Teisseire Spatial Textual Representation (STR) ou comment représenter la spatialité des données textuelles Spatial Analysis and GEOmatics 2017 - SAGEO17