In this paper, we describe the system developed for our participation in the Clinical TempEval task of SemEval 2016 (task 12). Our team focused on the subtasks of span and attribute identification from raw text and proposed a system that integrates both statistical and linguistic approaches. Our system is based on Conditional Random Fields with high-precision linguistic features.

The Varieties of English for Specific Purposes dAtabase (VESPA first release) is the result of an international corpus compilation project that aims to address the lack of large-scale, open access, multi-L1, multi-discipline and multi-register learner corpora. This corpus report provides a detailed description of VESPA and illustrates possible uses of the corpus for register exploration of learner data. Specifically, it first offers an overview of the makeup of the corpus and the online interface that can be used to search and download the corpus. It then gives an illustrative example of a study where multi-dimensional analysis was used to investigate the relative importance of register vis-à-vis other factors in learner academic writing. In the concluding remarks, we identify priorities for future developments in the VESPA project, including the addition of more L1 components, more disciplines and more registers, as well as the compilation of a comparable corpus of native student writing.

Dans cette recherche-action, nous questionnons l'usage d'outils de mesure permettant d'analyser l'activité d'une communauté et de ses individus dans la pratique de gestion de communautés actives sur les plateformes sociales d'entreprise (PSE). Après avoir détaillé les étapes de conception du tableau de bord, nous observons et analysons la réception de l'outil auprès de quatre gestionnaires de PSE. Enfin, ces entretiens exploratoires sont mis en perspective au regard de la littérature sur les facteurs inhibant ou facilitant l'émergence d'affordances dans l'usage des PSE, le rôle des métriques dans l'animation de communautés d'autre part.

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