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Found 6 papers, 0 papers with code
Intweetive Text Summarization
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business.
Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System
In this paper we introduce concepts, large categories of fields of studies or job domains in order to represent the vision of the future of the user's trajectory.
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)
We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge.
Systèmes du LIA à DEFT'13
The 2013 D\'efi de Fouille de Textes (DEFT) campaign is interested in two types of language analysis tasks, the document classification and the information extraction in the specialized domain of cuisine recipes.
Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14
This year, the DEFT campaign (D\'efi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented.
Optimisation using Natural Language Processing: Personalized Tour Recommendation for Museums
This paper proposes a new method to provide personalized tour recommendation for museum visits.
