Limsi / Cnrs
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LIMSI CNRS arXiv:190908681v1 [csCL] 18 Sep 2019
ABSTRACT Recent work in cross-lingual contextual word embedding learning cannot handle multi-sense words well In this work we explore the characteristics of contextual word embeddings and show the link between contextual word embeddings and word senses |
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A LIMSI CNRS Universit e de Paris-Saclay Orsay FR arXiv
aLIMSI CNRS Universite de Paris-Saclay Orsay FR bInstitut Pprime CNRS Universite de Poitiers ISAE-ENSMA Poitiers FR Abstract Deep Reinforcement Learning (DRL) is applied to control a nonlinear chaotic system governed by the one-dimensional Kuramoto-Sivashinsky (KS) equation |
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Spoken Language Processing in the Framework of Human-Machine
LIMSI & CNRS The LIMSI laboratory is a \"full\" CNRS (French National Research Agency) laboratory The acronym stands for \"Lab- oratoire d'Informatique pour la M6canique et les Sciences de t'Ing6nieur\" (Laboratory of Informatics for Mechanical Chemical and Electrical Engineering) CNRS is the French National Research Agency |
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The LIMSI SDR System for TREC-8
There expansion of different media sources for informa-tion dissemination (radio television internet) has led to a need for automatic processing tools Todays methods for audio segmentation transcription and indexation are man-ual with humans reading listening and watching annotat-ing topics and selecting items of interest for the user Even |
| QALC |
| Machine Translation its a question of style innit? The |
INTRODUCTION
There expansion of different media sources for informa-tion dissemination (radio, television, internet) has led to a need for automatic processing tools. Todays methods for audio segmentation, transcription and indexation are man-ual, with humans reading, listening and watching, annotat-ing topics and selecting items of interest for the user. Even
Filter out non speech segments
Acoustic models Lexicon Language model Iterative segmentation and labelling trec.nist.gov
Word Recognition
partitioned data word transcription (SGML file) Figure 1: Overview of transcription system for audio stream. music segments. Gradual transitions between segments oc-cur when there is background music or noise with chang-ing volume, and abrupt changes are common when there is switching between speakers in different locations. The speech is produced
Tokenization
The tokenizer transforms the texts to a unified format. The basic operations include translating numbers and sums into words, removing all the punctuation signs, removing case distinctions and detecting acronyms and spelled names such as K.G.B. However removing all punctuation markers im-plies that certain hyphenated words such as anti-communist, n
ADDITIONAL RESULTS
In this section some post-evaluation experiments with the Okapi-based system are reported. We also report here some of the development experiments comparing the Okapi and Markovian approaches. trec.nist.gov
ACKNOWLEDGMENTS
This work has been partially financed by the European Commission and the French Ministry of Defense. The au-thors gratefully acknowledge the participation of Mich` ele Jardino, Remi Lejeune and Patrick Paroubek to this work. trec.nist.gov
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QALC - the Question-Answering system of LIMSI-CNRS Olivier
{ferretgrau |
| Clinical Decision Support Track results — (LIMSI) LIMSI-CNRS |
| Microblog Track results — Syllabs + LIMSI-CNRS |
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LIMSI: Translations as Source of Indirect Supervision for Multilingual
LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity Linking. Marianna Apidianaki. LIMSI-CNRS. |
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TRISTOUNET: TRIPLET LOSS FOR SPEAKER TURN EMBEDDING
LIMSI CNRS |
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Continuous Speech Recognition at LIMSI L.F. Lamel and J.L.
Sep 1 1992 Sep92 |
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Construction of a Multilingual Corpus Annotated with Translation
Non-literal translation in French: Ça sera d'autant plus difficile de le faire pour 9 milliards de personnes. Y. ZHAI (LIMSI-CNRS UPsud) atelier CORLI. 30 |
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LIMSI-COT at SemEval-2016 Task 12: Temporal relation
Jun 17 2016 LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers. Julien Tourille. LIMSI |
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LIMSI @ WMT 2020
Nov 20 2020 Univ. Paris-Saclay |
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The LIMSI Broadcast News Transcription System
LIMSI-CNRS BP 133. 91403 Orsay cedex |
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Chercheur en Informatique LIMSI, CNRS et Université Paris Sud
Directeur de recherche au CNRS (S 07), Directeur du LIMSI/CNRS Directeur d' une Unité Propre du CNRS comportant environ 200 chercheurs et enseignants- |
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Laboratoire dInformatique pour la Mécanique et les - Hcéres
15 mai 2019 · Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, LIMSI , U Paris 11, CNRS, M François YVON 3 Les données |
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GILLES ADDA - CNRS
ORSAY http://www limsi « Je travaille sur la langue, tant au niveau scientifique que technologique », annonce Gilles Adda, 50 ans, ingénieur de recherche au |
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Campagne emplois enseignants-chercheurs 2020 - Université Paris
LIMSI et le LRI (UMR 8623) voisin se fondront dans une unité de recherche plus large pour la Mécanique et les Sciences de l'Ingénieur (LIMSI, CNRS) situé à |
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JEP, 33e édition
Natalia Grabar (STL, CNRS, Université Lille 3) Anne-Laure Ligozat (LIMSI, CNRS, ENSIIE, Université Paris-Saclay) Emmanuel Morin (LINA, Université de |
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EVE - CSI CNRS-INS2I
La recherche en interactions avancées Techniques d'interaction Plateforme DIGISCOPE 3 Jean-Marc Vézien - Groupe de RV&A « VENISE », LIMSI - CNRS |
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Stage Master 2 / ingénieur LIMSI-CNRS / AP-HP - Xavier Tannier
LIMSI-CNRS / AP-HP Titre : Adaptation d'un système d'apprentissage neuronal à de nouveaux domaines Mots-clés : apprentissage automatique, traitement |
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QALC - the Question-Answering system of LIMSI-CNRS Olivier
QALC - the Question-Answering system of LIMSI-CNRS Olivier Ferret* Brigitte Grau* Martine Hurault-Plantet* Gabriel Illouz* Christian Jacquemin* |
