Gilles Moyse

Gilles Moyse

Paris, Île-de-France, France
22 k abonnés + de 500 relations

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Gilles Moyse holds a Ph.D. in Artificial Intelligence. He is the CEO of reciTAL, an AI…

Activité

Expérience

  • Graphique Récital

    Récital

    Paris

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    Paris

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    Paris

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    Paris, France

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    Paris, France

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    France, Algeria

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    France, India

Formation

Licences et certifications

Publications

  • Donnerons-nous notre langue au ChatGPT ?

    Le Robert

    L’invention de ChatGPT est comparable à l’invention de l’imprimerie et d’Internet. Elle serait même, selon l’auteur, aussi révolutionnaire que le fut l’invention de l’écriture…

    Dans un contexte effervescent, où les critiques fusent souvent sans discernement ni rationalité, cet ouvrage apporte des éléments de réponse indispensables. Comment fonctionnent les nouvelles formes d’intelligence artificielle ? Que faire concrètement avec ces outils ? Quelles perspectives ouvrent-ils ? Mais aussi…

    L’invention de ChatGPT est comparable à l’invention de l’imprimerie et d’Internet. Elle serait même, selon l’auteur, aussi révolutionnaire que le fut l’invention de l’écriture…

    Dans un contexte effervescent, où les critiques fusent souvent sans discernement ni rationalité, cet ouvrage apporte des éléments de réponse indispensables. Comment fonctionnent les nouvelles formes d’intelligence artificielle ? Que faire concrètement avec ces outils ? Quelles perspectives ouvrent-ils ? Mais aussi : quels impacts ont-ils sur la vie des citoyens, sur leur environnement professionnel et, plus largement, sur la démocratie et les équilibres économiques et géopolitiques ? Enifn, comment l'Europe peut-elle répondre à l'enjeu central de son autonomie numérique ?

    Un essai capital pour sortir de la fascination, éveiller les consciences et (enfin) comprendre le dessous des cartes.

    Gilles Moyse est docteur en Intelligence Artificielle. Il a créé une startup d'IA dédiée au traitement du langage et des documents. Il a enseigné l'IA à Sciences Po et à l’ESCP.

    Etienne Klein est physicien et philosophe des sciences, directeur de recherches au CEA. Il est l’auteur du best-seller Le Goût du vrai (Gallimard, 2020).

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  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a…

    Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License.

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  • Project PIAF: Building a Native French Question-Answering Dataset

    arXiv

    Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.

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  • Interpretability of Fuzzy Linguistic Summaries

    Fuzzy Sets and Systems, vol. 292, pp. 307-317

    This paper investigates the question of the interpretability of fuzzy linguistic summaries, both at the sentence level and at the summary level, seen as a set of sentences. The individual sentence interpretability is examined as depending both on its representativity measured by a quality degree and on its linguistic expression. Different properties at the summary level are also discussed, namely their consistency, their non-redundancy and the information they convey. (C) 2014 Published by…

    This paper investigates the question of the interpretability of fuzzy linguistic summaries, both at the sentence level and at the summary level, seen as a set of sentences. The individual sentence interpretability is examined as depending both on its representativity measured by a quality degree and on its linguistic expression. Different properties at the summary level are also discussed, namely their consistency, their non-redundancy and the information they convey. (C) 2014 Published by Elsevier B.V.

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  • Linguistic summaries of locally periodic time series

    Fuzzy Sets and Systems, vol. 285, pp. 94-117

    This paper proposes a method to linguistically summarise the local periodic components of a time series: it identifies subparts of the data which are periodic, together with their periodicity degree and period, and provides a linguistic description thereof. The generated sentences can be illustrated by the example " Approximately from March to June, the series is highly periodic with a period of exactly 2 weeks ". The method proposed to identify local periodic zones relies on the determination…

    This paper proposes a method to linguistically summarise the local periodic components of a time series: it identifies subparts of the data which are periodic, together with their periodicity degree and period, and provides a linguistic description thereof. The generated sentences can be illustrated by the example " Approximately from March to June, the series is highly periodic with a period of exactly 2 weeks ". The method proposed to identify local periodic zones relies on the determination of relevant auto-adaptive windows, based on an analytical expression of the probability distribution of the considered periodicity criterion. The linguistic description generation, in the protoform approach framework, expresses three core aspects of the identified periodic intervals, namely their time context or localisation in time, their periodicity and their period. Intensive experiments performed on both artificial and real data validate the proposed method.

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  • Oppositions in Fuzzy Linguistic Summaries

    Proc. of FUZZ-IEEE'15

    An important aspect of interpretability in Fuzzy Linguistic Summaries (FLS) is the absence of opposition therein, which is not guaranteed by the the current approaches used for their generation, possibly leading to confusion for the end-user. In this paper, we first introduce a 3-level hierarchy to organise the models of opposition starting from simpler sentences, then enriched with generalised quantifiers and thirdly considering the several negation operators allowed by fuzzy logic. We then…

    An important aspect of interpretability in Fuzzy Linguistic Summaries (FLS) is the absence of opposition therein, which is not guaranteed by the the current approaches used for their generation, possibly leading to confusion for the end-user. In this paper, we first introduce a 3-level hierarchy to organise the models of opposition starting from simpler sentences, then enriched with generalised quantifiers and thirdly considering the several negation operators allowed by fuzzy logic. We then introduce a general model of opposition for FLS sentences, which we propose to represent as a 4-dimensional cube. We additionally discuss the antonym property in this analysis framework and prove it for general protoforms.

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  • Énoncés contradictoires dans les résumés linguistiques flous

    Proc. of LFA'14

    We propose a three-part study of the causes of the complexity to identify contradictory sentences in fuzzy linguistic summaries. The first part deals with the definition of opposition, based on the modern and Aristotelian squares. The second one covers the generalized quantifiers, richer and more complex than « All » and « Some ». Finally, the third one details the properties of the fuzzy logic tools used to model opposition. At the end of our analysis, we propose some ideas to define new…

    We propose a three-part study of the causes of the complexity to identify contradictory sentences in fuzzy linguistic summaries. The first part deals with the definition of opposition, based on the modern and Aristotelian squares. The second one covers the generalized quantifiers, richer and more complex than « All » and « Some ». Finally, the third one details the properties of the fuzzy logic tools used to model opposition. At the end of our analysis, we propose some ideas to define new properties ensuring non contradiction in the summaries.

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  • Fast and Incremental Erosion Score Computation

    Proc. of IPMU'14

    The erosion score is a Mathematical Morphology tool used primarily to detect periodicity in data. In this paper, three new computation methods are proposed, to decrease its computational cost and to allow to process data streams, in an incremental variant. Experimental results show the signifcant computation time decrease, especially for the efficient levelwise incremental approach which is able to process a one million point data stream in 1.5s.

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  • Linguistic summaries for periodicity detection based on mathematical morphology

    Proc. of IEEE SSCI FOCI'13

    The paper presents a methodology to evaluate the periodicity of a temporal data series, neither relying on assumption about the series form nor requiring expert knowledge to set parameters. It exploits tools from mathematical morphology to compute a periodicity degree and a candidate period, as well as the fuzzy set theory to generate a natural language sentence, improving the result interpretability. Experiments on both artificial and real data illustrate the relevance of the proposed approach.

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  • Linguistic Summaries of Categorical Time Series Patient Data

    Proc. of FUZZ-IEEE'13

    Linguistic summarization is a data mining and knowledge discovery approach to extract patterns and sum up large volume of data into simple sentences. There is a large research in generating linguistic summaries which can be used to better understand and communicate about patterns, evolution and long trends in numerical, time series or labelled data. The objective of this work is to develop a computational system capable of automatically generate linguistic descriptions in time series data…

    Linguistic summarization is a data mining and knowledge discovery approach to extract patterns and sum up large volume of data into simple sentences. There is a large research in generating linguistic summaries which can be used to better understand and communicate about patterns, evolution and long trends in numerical, time series or labelled data. The objective of this work is to develop a computational system capable of automatically generate linguistic descriptions in time series data containing labelled data, not only of the whole series, but also on the differences between subsets of the data. For this purpose we propose a new type of differential summaries, based on a numerical criterion assessing the behaviour of the summary on each subset of interest. Furthermore, this paper proposes an extension of linguistic summaries to provide temporal and categorical contextualisation. This is of particular interest in healthcare to detect differences related to a condition or illness as well as the effectiveness of the administered treatment.

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  • Mathematical morphology tools to evaluate periodic linguistic summaries

    Proc. of FQAS'13

    The erosion score is a Mathematical Morphology tool used primarily to detect periodicity in data. In this paper, three new computation methods are proposed, to decrease its computational cost and to allow to process data streams, in an incremental variant. Experimental results show the signifcant computation time decrease, especially for the efficient levelwise incremental approach which is able to process a one million point data stream in 1.5s.

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  • Commande oculaire de caméras 3D

    Proc. of workshop Eye-tracking, Regard & Interaction

    Other authors
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  • Fuzzy Linguistic Summaries: Where Are We, Where Can We Go?

    Proc. of CIFEr'12

    Along with the increase of the amount of data stored and to be analyzed, different techniques of data analysis have been developed over the years. One of them, the linguistic summary, aims at summing up large volume of data into simple sentences. In this paper, we present an overview of two main streams of research, namely fuzzy logic based systems and natural language generation, covering the methods designed to work with numerical data, time series, or simple labels (enumerations). We focus…

    Along with the increase of the amount of data stored and to be analyzed, different techniques of data analysis have been developed over the years. One of them, the linguistic summary, aims at summing up large volume of data into simple sentences. In this paper, we present an overview of two main streams of research, namely fuzzy logic based systems and natural language generation, covering the methods designed to work with numerical data, time series, or simple labels (enumerations). We focus on the former stream and we give some hints to go further on fuzzy quantifiers.

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Prix et distinctions

  • Coup de coeur Finance Innovation

    Pôle de compétitivité́ mondial Finance Innovation

    Lors de cet évènement majeur en France, le « Coup de cœur » du Jury a été remporté par Récital, un éditeur de logiciels basé sur l’IA et le traitement automatique du langage pour les entreprises. Le Pôle Finance Innovation a ainsi une nouvelle fois constaté l’extraordinaire dynamique des Fintech et leur rôle déterminant dans la transformation et la compétitivité de l’industrie financière. Plus de 354 millions d’euros ont été levés au premier semestre 2019 par ces acteurs, selon le cabinet KPMG.

  • AI Paris Awards

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    Organisé dans le cadre du salon AI Paris 2019 qui se tenait les 11 et 12 juin au Palais des Congrès de Paris, les AI Awards ont mis cette année la start-up ReciTal sous le feu des projecteurs. Sur les quelque 30 sociétés candidates à cette troisième édition des trophées, trois finalistes avaient été sélectionnés en amont par un jury composé d'experts indépendants. Chaque finaliste a pu venir défendre son projet sur scène. Le lauréat a ensuite été élu en direct par le public.

  • Member of the French delegation @G20YEA 2017

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  • 2nd place at HackaTAL 2016 @Google Paris

    Systran

    During the joint conference JEP-TALN-RECITAL 2016, will take place at Google Paris office, from July 2nd to July 4th, the first edition of a hackathon dedicated to NLP (Natural Language Processing).

    The aim is to bring the NLP community around data and software to exchange, model, prototype, code, implement, develop, test, assess… and much more!

    The tasks proposed concern the event detection and implementation of dialogue management system. The thematic selected is Euro 2016…

    During the joint conference JEP-TALN-RECITAL 2016, will take place at Google Paris office, from July 2nd to July 4th, the first edition of a hackathon dedicated to NLP (Natural Language Processing).

    The aim is to bring the NLP community around data and software to exchange, model, prototype, code, implement, develop, test, assess… and much more!

    The tasks proposed concern the event detection and implementation of dialogue management system. The thematic selected is Euro 2016, which will bring a practical application case, data (tweets and structured data) and could also make possible real time experiences.
    SYSTRAN, the leading provider of language translation technlogies, organizes the event detection session and will award a special price for the winner.

    Detailed program and registration here (in French).

  • Best Student Paper Award for "Oppositions in Fuzzy Linguistic Summaries"​ Proc. of FUZZ-IEEE'15

    IEEE Computer Intelligence Society

Langues

  • English

    Capacité professionnelle complète

  • French

    Bilingue ou langue natale

  • Spanish

    Capacité professionnelle générale

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