Search Results for author: Catherine Kobus

Found 8 papers, 0 papers with code

Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots

no code implementations NAACL (ACL) 2022 Alexandre Arnold, Fares Ernez, Catherine Kobus, Marion-Cécile Martin

During their pre-flight briefings, aircraft pilots must analyse a long list of NoTAMs (NOtice To AirMen) indicating potential hazards along the flight route, sometimes up to pages for long-haul flights.

named-entity-recognition Named Entity Recognition +1

A question-answering system for aircraft pilots' documentation

no code implementations26 Nov 2020 Alexandre Arnold, Gérard Dupont, Félix Furger, Catherine Kobus, François Lancelot

The aerospace industry relies on massive collections of complex and technical documents covering system descriptions, manuals or procedures.

Question Answering

Interpr\'etation et visualisation contextuelle de NOTAMs (messages aux navigants a\'eriens) ()

no code implementations JEPTALNRECITAL 2019 Alex Arnold, re, G{\'e}rard Dupont, Catherine Kobus, Fran{\c{c}}ois Lancelot, Pooja Narayan

Dans cet article, nous pr{\'e}sentons une d{\'e}monstration de visualisation de l{'}information extraite automatiquement de la partie textuelle des NOTAMs.

SYSTRAN Purely Neural MT Engines for WMT2017

no code implementations WS 2017 Yongchao Deng, Jungi Kim, Guillaume Klein, Catherine Kobus, Natalia Segal, Christophe Servan, Bo wang, Dakun Zhang, Josep Crego, Jean Senellart

This paper describes SYSTRAN's systems submitted to the WMT 2017 shared news translation task for English-German, in both translation directions.

Machine Translation Translation

Domain Control for Neural Machine Translation

no code implementations RANLP 2017 Catherine Kobus, Josep Crego, Jean Senellart

The presented approach shows quality improvements when compared to dedicated domains translating on any of the covered domains and even on out-of-domain data.

Domain Adaptation Machine Translation +3

SYSTRAN's Pure Neural Machine Translation Systems

no code implementations18 Oct 2016 Josep Crego, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, Raoum Khiari, Byeongil Ko, Catherine Kobus, Jean Lorieux, Leidiana Martins, Dang-Chuan Nguyen, Alexandra Priori, Thomas Riccardi, Natalia Segal, Christophe Servan, Cyril Tiquet, Bo wang, Jin Yang, Dakun Zhang, Jing Zhou, Peter Zoldan

Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by several entities announcing roll-out of NMT engines to replace their existing technologies.

Machine Translation NMT +1

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