Search Results for author: Mathieu Roche

Found 16 papers, 1 papers with code

Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification

no code implementations LREC 2022 Edmond Menya, Mathieu Roche, Roberto Interdonato, Dickson Owuor

We find these thematic features rich enough to improve epidemiological document classification over a smaller data set than initially used in PADI-Web classifier.

Classification Document Classification +2

An evaluation framework for comparing epidemic intelligence systems

1 code implementation30 Mar 2023 Nejat Arinik, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire

In the context of Epidemic Intelligence, many Event-Based Surveillance (EBS) systems have been proposed in the literature to promote the early identification and characterization of potential health threats from online sources of any nature.

Descriptive

Annotation of epidemiological information in animal disease-related news articles: guidelines

no code implementations15 Jan 2021 Sarah Valentin, Elena Arsevska, Aline Vilain, Valérie De Waele, Renaud Lancelot, Mathieu Roche

This paper describes a method for annotation of epidemiological information in animal disease-related news articles.

Automated Processing of Multilingual Online News for the Monitoring of Animal Infectious Diseases

no code implementations LREC 2020 Sarah Valentin, Renaud Lancelot, Mathieu Roche

We detail the processing of multilingual online sources by PADI-web and analyse the translated outputs in a case study

How to define co-occurrence in different domains of study?

no code implementations16 Apr 2019 Mathieu Roche

This position paper presents a comparative study of co-occurrences.

Position

Integration of Lexical and Semantic Knowledge for Sentiment Analysis in SMS

no code implementations LREC 2016 Wejdene Khiari, Mathieu Roche, Asma Bouhafs Hafsia

The experiments were conducted on two corpora: an elongated SMS corpus (i. e. repetitions of characters in messages) and a non-elongated SMS corpus.

General Classification Sentiment Analysis

Automatic Biomedical Term Polysemy Detection

no code implementations LREC 2016 Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire

Polysemy detection is a first step for Word Sense Induction (WSI), which allows to find different meanings for a term.

Word Sense Induction

Monitoring Disease Outbreak Events on the Web Using Text-mining Approach and Domain Expert Knowledge

no code implementations LREC 2016 Elena Arsevska, Mathieu Roche, Sylvain Falala, Renaud Lancelot, David Chavernac, Pascal Hendrikx, Barbara Dufour

Our method combines a text mining approach to extract terms from corpora of relevant disease outbreak documents, and domain expert elicitation (Delphi method) to propose expressions and to select relevant combinations between terms obtained with text mining.

Identification des unit\'es de mesure dans les textes scientifiques

no code implementations JEPTALNRECITAL 2015 Soumia Lilia Berrahou, Patrice Buche, Juliette Dibie-Barth{\'e}lemy, Mathieu Roche

La deuxi{\`e}me {\'e}tape du processus, une fois l{'}espace de recherche r{\'e}duit aux variants d{'}unit{\'e}s, utilise une nouvelle mesure de similarit{\'e} permettant d{'}identifier automatiquement les variants d{\'e}couverts par rapport {\`a} un terme d{'}unit{\'e} d{\'e}j{\`a} r{\'e}f{\'e}renc{\'e} dans la RTO avec un taux de pr{\'e}cision de 82{\%} pour un seuil au dessus de 0. 6 sur le corpus {\'e}tudi{\'e}.

Towards Electronic SMS Dictionary Construction: An Alignment-based Approach

no code implementations LREC 2014 C{\'e}dric Lopez, Best, Reda ji, Mathieu Roche, Rachel Panckhurst

In this paper, we propose a method for aligning text messages (entitled AlignSMS) in order to automatically build an SMS dictionary.

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