Institut du Monde Arabe

Material of interest: Metal panel. Properties of material: A shifting geometric pattern is formed and showcased as both light and void. Squares, circles, and octagonal shapes are produced in a fluid motion as light is modulatedhttps://openscholarship.wustl.edu/bcs/1074/thumbnail.jp

Adapting Data Mining for German Named Entity Recognition

International audienceIn the latest decades, machine learning approaches have been intensively exper-imented for natural language processing. Most of the time, systems rely on using statistics within the system, by analyzing texts at the token level and, for labelling tasks, categorizing each among possible classes. One may notice that previous sym-bolic approaches (e.g. transducers) where designed to delimit pieces of text. Our re-search team developped mXS, a system that aims at combining both approaches. It lo-cates boundaries of entities by using se-quential pattern mining and machine learn-ing. This system, intially developped for French, has been adapted to German

Mini-NOVA: A Lightweight ARM-based Virtualization Microkernel Supporting Dynamic Partial Reconfiguration

International audienceToday, ARM is becoming the mainstream family of processors in the high-performance embedded systems domain. In this context, adding a run-time reconfigurable FPGA device to the ARM processor into a single chip makes it possible to combine high performance and flexibility. In this paper, we propose a low-complexity design of system virtualization running on the Zynq platform. Virtualization of software and hardware resources are managed by a custom microkernel. The dedicated features to efficiently manage the dynamic partial reconfiguration (DPR) technology are described in details. The performance of the DPR management is evaluated and presented at the end of this paper

Pattern Mining for Named Entity Recognition

Revised selected paper of the LTC'2011 conferenceInternational audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition. Our research team has developed CasEN, a symbolic system based on finite state tranducers, which achieved promising results during the Ester2 French-speaking evaluation campaign. Despite these encouraging results, manually extending the coverage of such a hand-crafted system is a difficult task. In this paper, we present a novel approach based on pattern mining for NER and to supplement our system's knowledge base. The system, mXS, exhaustively searches for hierarchical sequential patterns, that aim at detecting Named Entity boundaries. We assess their efficiency by using such patterns in a standalone mode and in combination with our existing system

Evaluation of an RTOS on top of a hosted virtual machine system

International audienceIn this paper we evaluate a virtualized RTOS by detailing its internal fine-grained overheads and latencies rather than by providing more global results from an application perspective, as it is usually the case. This approach is fundamental to analyze a mixed criticality real-time system where applications with different levels of criticality must share the same hardware with different operating systems. This evaluation allows to observe how the RTOS behaves when deployed on top of a virtual machine system and to understand what are the key features of the RTOS which impact the performance degradation

Synthesis and characterization of poly (D,L-lactide-co-ε-caprolactone) for application in tendon/ligament tissue engineering / Wahida Abdul Rahman, Jean-Luc Six and Cécile Nouvel

In this research, copolymers of poly (D,L-lactide-co-ε-caprolactone) (PLCL) with 50:50 feed ratio were synthesized by the coordination-insertion ring opening polymerization (ROP) of cyclic esters at different temperature (130 0C, 150 0C and 200 0C). Both Sn(II)octoate (SnOct2) and isopropanol (iPrOH) were used as catalyst and initiator respectively and polymerization reaction were took part from 24 hours until 1 week. The conversion of monomer D,L-lactide and ε-caprolactone, polydispersity index (PDI) and total average molecular weight of copolymer PLCL can be determined by proton nuclear magnetic resonance (1H-NMR) and size exclusion chromatography coupled multi-angle laser light scattering (SEC-MALLS). Both analyses showed the increasing trend as the reaction temperature increased. The average sequence lengths of the lactidyl units (leLL) and caproyl (lecap) units, the degree of randomness (R) and the transesterification coefficients (TI and TII) were calculated from the 13C-NMR spectra. The average sequence lengths showed the decreasing trends, meanwhile there were small significant value increased for degree of randomness and transesterification coefficients when reaction temperature increased from 130 0C to 200 0C. The fabricated PLCL copolymers have a potential to be transformed into three dimensional scaffold for application in tendon/ligament tissue engineering

Fouille de règles d'annotation pour la reconnaissance d'entités nommées

National audienceComme pour de nombreuses autres problématiques TAL, la reconnaissance d'entités nommées met en jeu aussi bien des systèmes à base de connaissances que des systèmes guidés par les données. Dans cet article, nous proposons une approche médiane par l'adaptation de méthodes issues de l'extraction de connaissances. Notre système, mXS, intègre des techniques de fouille séquentielle hiérarchique pour la détection des entités nommées. Le système adopte une démarche centrée sur les données pour extraire des motifs symboliques. Il repose par ailleurs sur une stratégie originale qui consiste à rechercher séparément le début et la fin des entités. Cette approche présente l'intérêt de conserver une certaine robustesse par rapport aux bruit et disfluences. Elle est adaptée au cadre applicatif visé par le système : la détection d'entités nommées au sein de flux de parole conversationnelle transcrite automatiquement. À ce titre, mXS a participé à la campagne d'évaluation ETAPE où il a présenté de bons résultats. Cet article présente le fonctionnement de mXS et ses performances sur les jeux de données issus de deux campagnes d'évaluation francophones (ESTER 2 et ETAPE)

Reconnaissance d'entités nommées : enrichissement d'un système à base de connaissances à partir de techniques de fouille de textes

International audienceIn this paper, we present and analyze the results obtained by our named entity recognition system, CasEN, during the Ester2 evaluation campaign. We identify on what difficulties our system was the most challenged, which mainly are: out-of-vocabulary words, metonymy and detection of the boundaries of named entities. Next, we propose a direction which may help us for improving performances of our system, by using exhaustive hierarchical and sequential data mining algorithms. This approach aims at extracting patterns corresponding to useful linguistic constructs for recognizing named entities. Finaly, we describe our experiments, give the results we currently obtain and analyze those results

OFDM PLC transmission for aircraft flight control system

International audienc