Francois Vignale
Brigitte Ouvry-Vial and Francois Vignale interviewed by euradio
In an interview with French radio chain euradio, Brigitte Ouvry-Vial and Francois Vignale have introduced LEXILECT, a continuation of the READ-IT programme which is currently being carried out at the lab 3L.AM at Le Mans University, with the support of Alliance Europa and MSH Ange Guépin. LEXILECT aims to build a thesaurus of reading experiences…
Read moreNew blogpost on READ-IT
Plug in labs, a French platform devoted to improve knowledge of the innovative potential of academic research in Brittany and Pays de la Loire, has recently published a blogpost about READ-IT. In the blogpost, Brigitte Ouvry-Vial, François Vignale and Guillaume Gravier discuss the main features and aims of the annotation interface which will be available…
Read moreEvent news: Nantes Science Festival (France)
On the 9th and 10th October 2021, Brigitte Ouvry-Vial, François Vignale and Elena Prat (Le Mans University) will present READ-IT at the Nantes Science Festival (France). In the course of the event, the public will be invited to test the READ-IT annotation interface and to contribute to the project through short interviews, by filling in…
Read moreColloque Humanistica 2021: Association francophone des humanités numériques (10-12.05.2021)
The conference Colloque Humanistica 2021, in Rennes (France), took place on 10-12 May 2021. READ-IT team members François Vignale, Guillaume Le Noé-Bienvenu, and Guillaume Gravier presented a couple of articles. One included: ‘ “Je pense que ça traite d’expérience de lecture, à voir …”: retour sur une expérience d’annotation collaborative’ (‘ “I think it’s about…
Read moreIRISA team wins 2nd place for the Entity linking in French in the HIPE challenge
READ-IT are excited to announce that the IRISA team (Rennes, France) participated in the HIPE (Identifying Historical People, Places and other Entities) challenge. HIPE is a named entity processing evaluation campaign on historical newspapers in French, German and English, organised in the context of the impresso project and run as a CLEF 2020 Evaluation Lab. The IRISA team were runners up in ‘Named Entity Recognition and Classification…
Read moreREAD-IT presented at DH2019 conference, Utrecht, Netherlands (July 2019)
READ-IT team members François Vignale (Le Mans University), Francesca Benatti (The Open University, pictured above) and Alessio Antonini (The Open University) presented a paper, entitled “Reading in Europe – Challenge and Case Studies of READ-IT” at the recent DH2019 conference at Utrecht University, The Netherlands, 8-12 July 2019. You can read the full abstract here….
Read moreNew Publication (June 2019): ‘Modelling Changes in Diaries, Correspondence and Authors’ Libraries to support research on reading: the READ-IT approach’
READ-IT Project PI-5 Prof Guillaume Gravier (CNRS-IRISA, Rennes) and team members Dr Alessio Antonini (The Open University), Dr Francesca Benatti (The Open University) and Dr François Vignale (Le Mans Université) have co-authored a new peer-reviewed workshop article, “Modelling Changes in Diaries, Correspondence and Authors’ Libraries to support research on reading: the READ-IT approach”. The workshop…
Read moreREAD-IT keynote and presentations at ‘READING CULTURE AND LIBRARIES IN CHANGE’ conference, May 2019
Brigitte Ouvry-Vial and François Vignale will both attend and present at the ‘READING CULTURE AND LIBRARIES IN CHANGE’ conference, at the University of Turku, Finland, 22-23 May 2019.The conference is organised by the Consortium LibDat: Towards a More Advanced Loaning and Reading Culture and its Information Service, with the University of Turku. It seeks to address the…
Read moreREAD-IT technical team meet in Rennes, France, 19-20.12.2018
The second meeting of the READ-IT technical team took place on 19-20 December 2018 at CNRS-IRISA, Rennes, France, attended by Guillaume Gravier (CNRS-IRISA), François Vignale (Le Mans Université) and Alessio Antonini (The Open University). The meeting was an important milestone in the design of the READ-IT data model. First, we worked to harmonize the three…
Read more