à Toulouse du 1er au 5 juillet organisé conjointement avec la Plateforme d’Intelligence Artificielle, Loïc Vial, Benjamin Lecouteux et Didier Schwab ont obtenu le prix du meilleur article pour Compression de vocabulaire de sens grâce aux relations sémantiques pour la désambiguïsation lexicale.
Cet article présente une méthode originale qui pallie le manque de données annotés de bonne qualité et qui permet d’obtenir des résultats qui surpassent largement l’état de l’art sur toutes les tâches d’évaluation de la désambiguïsation lexicale.
Pour rappel, la Désambiguïsation Lexicale est une tâche qui vise à clarifier un texte en assignant à chacun de ses mots l’étiquette de sens la plus appropriée depuis un inventaire de sens prédéfini. Il s’agira, par exemple, de préférer dans la phrase La souris mange le fromage le sens de rongeur plutôt que le sens de dispositif électronique pour le mot souris. Ces travaux sont exploités par les auteurs dans plusieurs applications du traitement automatique des langues comme la traduction automatique ou pour concevoir des outils destinés à établir une communication alternative par exemple pour pour des personnes maîtrisant pas ou peu la langue ou des personnes en situation de polyhandicap.
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Postdoc proposal (18 months)
Spontaneous Speech Recognition. Application to Situated Corpora in French.
More details here.
2 seminars from Steven Bird in january 2019
Thesis defense by Alexis Brenon on December 14, 2017
Thesis entitled « Modèle profond pour le contrôle vocal adaptatif d’un habitat Intelligent » (“Deep model for adaptive voice control of an Intelligent habitat”) at 14:15 in the IMAG amphitheatre.
Proposal for a CIFRE thesis with the company Ixiade
Ixiade proposes a CIFRE thesis as part of a collaboration with the GETALP team of the laboratoire d’Informatique de Grenoble.
Start of thesis: As soon as possible.
Location: the position is based in Grenoble.
The gross annual salary is 28 800€.
Description of the subject:
For more than 12 years, Ixiade’s experts have worked closely with teams of companies wishing to enhance and develop their strategic, technological and human assets. They work across the board as part of a participatory innovation process. The aim is to bring innovation to the teams through the transmission of best practices and “tailor-made” recommendations, in particular through upstream analysis of the potential meaning of a new concept or a new product or service.
On this last aspect, Ixiade’s expertises are based on the realization of semi-directive oral interviews, their written transcription and the detailed analysis of these transcriptions. This last step is particularly time-consuming and the objective of this thesis is the creation of tools based on the automatic processing of the natural language allowing the expert to more easily perceive the underlying opinion of the persons interviewed on the concept studied.
This thesis will thus consist in studying the extraction of ideas from textual documents, whether these ideas are linked to a particular field (for example in association with existing practices) or, for the most interesting part, to the expression of opinions that are more general and emotionally rich because they are linked to the profile of the interviewee.
The extraction can then be done in a:
– endogenous, based on information from a segmentation of the interview corpus.
– The extraction can then be done in a:
exogenous, from external resources such as, for example, the lexical resource JeuDemots (large lexical graph on the French language built from games/associations of ideas for about ten years) or from resources learned on a general corpus and/or from a related field.
The candidate will be encouraged to publish his/her progress at major conferences in the field in TALN (automatic natural language processing) (ACL, Interspeech).
The candidate may benefit from a thesis work that will start jointly on the same field of application but rather focus on the linguistic analysis of available corpora.
Profile of the candidate sought :
You have or have completed a Master 2 Research in Computer Science or in TALN (automatic natural language processing) and wish to prepare a CIFRE doctorate in a company in liaison with a research laboratory. You are passionate about information and communication technologies. You have training and experience in the study and/or development of automatic natural language processing. Knowledge in automatic learning would be a plus. You are interested in opinion analysis in oral productions and wish to discover the working methodologies of the innovation industry.
Please send a CV + cover letter + letter of recommendation to Isabelle Fournié (isabelle.fournie@ixiade.com), Didier Schwab (didier.schwab@imag.fr) and Jérôme Goulian (jerome.goulian@imag.fr).
Ixiade : http://www.ixiade.com/fr
Getalp : http://lig-getalp-new.imag.fr/
Thesis offer financed by the ANR
The GETALP team is recruiting a PhD student on a thesis topic funded by the ANR : Custom voice control system in context
3-year contract, beginning September 2017.
Team seminar Pedro Chahuara on Thursday May 18 at 2pm
Jean-Pierre Chevrot team seminar (Thursday 2 March)
Language acquisition and sociolinguistic uses: social, cognitive and network
18-19 January 2017 : Meeting to launch the ANR VOCADOM project
The VOCADOM project led by GETALP was selected by the ANR during the generic call in 2016.
Duration of the project: 48 months – Scientific Manager: Michel Vacher
Partners : CNRS/LIG, Inria Nancy Grand-Est, GRePS, THEORIS
Project website : VOCADOM
Lorraine Goeuriot Seminar December 1, 2016
Lorraine Goeuriot, lecturer in the MRIM team, will give the following presentation on December 1st at 2pm in room 306.
Title : Medical Information Retrieval and its evaluation: an overview of CLEF eHealth evaluation task
Summary : In this talk, I will introduce my research activities in the field of medical information retrieval, and in particular its evaluation.
The use of the Web as source of health-related information is a wide-spread phenomena, and laypeople often have difficulties finding relevant documents. The goal of the CLEF eHealth evaluation challenge is to provide researchers with datasets to improve consumer health search. I will firstly introduce the task and the datasets built. Then I will describe some experiments and results obtained on this dataset.