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ORCIDChristophe Servan
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2020 – today
- 2024
[c40]Nesrine Bannour, Christophe Servan, Aurélie Névéol, Xavier Tannier:
A Benchmark Evaluation of Clinical Named Entity Recognition in French. LREC/COLING 2024: 14-21- [c39]Christophe Servan, Sahar Ghannay, Sophie Rosset:
mALBERT: Is a Compact Multilingual BERT Model Still Worth It? LREC/COLING 2024: 11023-11029 - [c38]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark. LREC/COLING 2024: 12227-12246 - [c37]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification. LREC/COLING 2024: 14923-14936 - [c36]Rabab Alkhalifa
, Hsuvas Borkakoty, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Tobias Fink, Gabriela González Sáez, Petra Galuscáková, Lorraine Goeuriot, David Iommi, Maria Liakata, Harish Tayyar Madabushi, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga:
LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024. ECIR (6) 2024: 60-66 - [c35]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot. TALN (1) 2024: 113-129 - [c34]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
Nouvelle tâche sémantique pour le corpus de compréhension de parole en français MEDIA. TALN (JEP) 2024: 470-480 - [i15]Christophe Servan, Sahar Ghannay, Sophie Rosset:
mALBERT: Is a Compact Multilingual BERT Model Still Worth It? CoRR abs/2403.18338 (2024) - [i14]Nesrine Bannour, Christophe Servan, Aurélie Névéol, Xavier Tannier:
A Benchmark Evaluation of Clinical Named Entity Recognition in French. CoRR abs/2403.19726 (2024) - [i13]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark. CoRR abs/2403.19727 (2024) - [i12]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification. CoRR abs/2404.11122 (2024) - 2023
- [c33]Rabab Alkhalifa, Iman Munire Bilal, Hsuvas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF 2023: 440-458 - [c32]Rabab Alkhalifa, Iman Munire Bilal, Hsuvas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela Nicole González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF (Working Notes) 2023: 2181-2203 - [c31]Rabab Alkhalifa, Iman Munire Bilal, Hsubhas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga:
LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. ECIR (3) 2023: 499-505 - [e2]Christophe Servan, Anne Vilnat:
Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 1 : travaux de recherche originaux - articles longs, Paris, France, June 5-9, 2023. ATALA 2023 [contents] - [e1]Christophe Servan, Anne Vilnat:
Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 2 : travaux de recherche originaux - articles courts, Paris, France, June 5-9, 2023. ATALA 2023 [contents] - 2022
- [c30]Oralie Cattan, Christophe Servan, Sophie Rosset:
On the Usability of Transformers-based models for a French Question-Answering task - abstract. CIRCLE 2022 - [c29]Oralie Cattan, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Benchmarking Transformers-based models on French Spoken Language Understanding tasks. INTERSPEECH 2022: 1238-1242 - [i11]Oralie Cattan, Christophe Servan, Sophie Rosset:
On the Usability of Transformers-based models for a French Question-Answering task. CoRR abs/2207.09150 (2022) - [i10]Oralie Cattan, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Benchmarking Transformers-based models on French Spoken Language Understanding tasks. CoRR abs/2207.09152 (2022) - [i9]Oralie Cattan, Christophe Servan, Sophie Rosset:
On the cross-lingual transferability of multilingual prototypical models across NLU tasks. CoRR abs/2207.09157 (2022) - 2021
- [c28]Oralie Cattan, Christophe Servan, Sophie Rosset:
On the Usability of Transformers-based Models for a French Question-Answering Task. RANLP 2021: 244-255 - 2020
- [c27]Sahar Ghannay, Christophe Servan, Sophie Rosset:
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task. COLING 2020: 2722-2727 - [c26]Estelle Maudet, Christophe Servan:
Conception d'un système de détection d'intention pour un moteur de recherche sur Internet (Designing a User Intention Detection system for a Web Search Engine). JEP-TALN-RECITAL (Demos) 2020: 50-52
2010 – 2019
- 2019
- [c25]Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. IWSLT 2019 - [c24]Estelle Maudet, Oralie Cattan, Maureen de Seyssel, Christophe Servan:
Qwant Research @DEFT 2019 : appariement de documents et extraction d'informations à partir de cas cliniques (Document matching and information retrieval using clinical cases). PFIA (Défi Fouille de Textes) 2019: 67-80 - [i8]Maxime Portaz, Hicham Randrianarivo, Adrien Nivaggioli, Estelle Maudet, Christophe Servan, Sylvain Peyronnet:
Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research. CoRR abs/1903.11299 (2019) - [i7]Estelle Maudet, Oralie Cattan, Maureen de Seyssel, Christophe Servan:
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases. CoRR abs/1907.05790 (2019) - [i6]Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. CoRR abs/1910.07481 (2019) - 2017
- [c23]Christophe Servan, Catherine Kobus, Yongchao Deng, Cyril Touffet, Jungi Kim, Inès Kapp, Djamel Mostefa, Josep Maria Crego, Aurélien Coquard, Jean Senellart:
Conception d'une solution de détection d'événements basée sur Twitter (Design of a solution for event detection from Tweeter). TALN (3) 2017: 19-20 - [c22]Christophe Servan, Josep Maria Crego, Jean Senellart:
Adaptation incrémentale de modèles de traduction neuronaux (Incremental adaptation of neural machine translation models). TALN (2) 2017: 218-225 - [c21]Yongchao Deng, Jungi Kim, Guillaume Klein, Catherine Kobus, Natalia Segal, Christophe Servan, Bo Wang, Dakun Zhang, Josep Maria Crego, Jean Senellart:
SYSTRAN Purely Neural MT Engines for WMT2017. WMT 2017: 265-270 - [i5]Yongchao Deng, Jungi Kim, Guillaume Klein, Catherine Kobus, Natalia Segal, Christophe Servan, Bo Wang, Dakun Zhang, Josep Maria Crego, Jean Senellart:
SYSTRAN Purely Neural MT Engines for WMT2017. CoRR abs/1709.03814 (2017) - 2016
- [c20]Christophe Servan, Alexandre Berard, Zied Elloumi, Hervé Blanchon, Laurent Besacier:
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources? COLING 2016: 1159-1168 - [c19]Ngoc-Tien Le, Christophe Servan, Benjamin Lecouteux, Laurent Besacier:
Better Evaluation of ASR in Speech Translation Context Using Word Embeddings. INTERSPEECH 2016: 2538-2542 - [c18]Alexandre Berard, Christophe Servan, Olivier Pietquin, Laurent Besacier:
MultiVec: a Multilingual and Multilevel Representation Learning Toolkit for NLP. LREC 2016 - [c17]Christophe Servan, Zied Elloumi, Hervé Blanchon, Laurent Besacier:
Word2Vec vs DBnary ou comment (ré)concilier représentations distribuées et réseaux lexico-sémantiques ? Le cas de l'évaluation en traduction automatique (Word2Vec vs DBnary or how to bring back together vector representations and lexical resources ? A case study for machine translation evaluation). JEP-TALN-RECITAL (2) 2016: 304-317 - [i4]Christophe Servan, Alexandre Berard, Zied Elloumi, Hervé Blanchon, Laurent Besacier:
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources? CoRR abs/1610.01291 (2016) - [i3]Josep Maria Crego, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurélien 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:
SYSTRAN's Pure Neural Machine Translation Systems. CoRR abs/1610.05540 (2016) - [i2]Alexandre Berard, Olivier Pietquin, Christophe Servan, Laurent Besacier:
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation. CoRR abs/1612.01744 (2016) - [i1]Christophe Servan, Josep Maria Crego, Jean Senellart:
Domain specialization: a post-training domain adaptation for Neural Machine Translation. CoRR abs/1612.06141 (2016) - 2015
- [c16]Christophe Servan, Ngoc-Tien Le, Ngoc-Quang Luong, Benjamin Lecouteux, Laurent Besacier:
An open-source toolkit for word-level confidence estimation in machine translation. IWSLT 2015 - [c15]Christophe Servan, Marc Dymetman:
Adaptation par enrichissement terminologique en traduction automatique statistique fondée sur la génération et le filtrage de bi-segments virtuels. TALN 2015: 68-74 - 2014
- [j2]Mauro Cettolo, Nicola Bertoldi, Marcello Federico, Holger Schwenk, Loïc Barrault, Christophe Servan:
Translation project adaptation for MT-enhanced computer assisted translation. Mach. Transl. 28(2): 127-150 (2014) - [c14]Joern Wuebker, Hermann Ney, Adria A. Martinez-Villaronga, Adrià Giménez, Alfons Juan, Christophe Servan, Marc Dymetman, Shachar Mirkin:
Comparison of data selection techniques for the translation of video lectures. AMTA 2014: 193-207 - 2013
- [c13]Mauro Cettolo, Christophe Servan, Nicola Bertoldi, Marcello Federico, Loïc Barrault, Holger Schwenk:
Issues in incremental adaptation of statistical MT from human post-edits. WPTP@MTSummit 2013 - 2012
- [c12]Christophe Servan, Simon Petitrenaud:
Calculation of Phrase Probabilities for Statistical Machine Translation by using Belief Functions. COLING (Posters) 2012: 1101-1110 - [c11]Christophe Servan, Simon Petitrenaud:
Utilisation des fonctions de croyance pour l'estimation de paramètres en traduction automatique (Feature calculation for Statistical Machine Translation by using belief functions) [in French]. JEP-TALN-RECITAL 2012: 543-550 - [c10]Christophe Servan, Patrik Lambert, Anthony Rousseau, Holger Schwenk, Loïc Barrault:
LIUM's SMT Machine Translation Systems for WMT 2012. WMT@NAACL-HLT 2012: 369-373 - 2011
- [j1]Christophe Servan, Holger Schwenk:
Optimising Multiple Metrics with MERT. Prague Bull. Math. Linguistics 96: 109-118 (2011) - [c9]Patrik Lambert, Holger Schwenk, Christophe Servan, Sadaf Abdul-Rauf:
Investigations on Translation Model Adaptation Using Monolingual Data. WMT@EMNLP 2011: 284-293 - [c8]Holger Schwenk, Patrik Lambert, Loïc Barrault, Christophe Servan, Sadaf Abdul-Rauf, Haithem Afli, Kashif Shah:
LIUM's SMT Machine Translation Systems for WMT 2011. WMT@EMNLP 2011: 464-469 - 2010
- [c7]Christophe Servan, Nathalie Camelin, Christian Raymond, Frédéric Béchet, Renato de Mori:
On the use of machine translation for spoken language understanding portability. ICASSP 2010: 5330-5333
2000 – 2009
- 2008
- [b1]Christophe Servan:
Apprentissage automatique et compréhension dans le cadre d'un dialogue homme-machine téléphonique à initiative mixte. (Corpus-based spoken language understanding for mixed initiative spoken dialog systems). University of Avignon, France, 2008 - [c6]Loïc Barrault, Christophe Servan, Driss Matrouf, Georges Linarès, Renato de Mori:
Frame-based acoustic feature integration for speech understanding. ICASSP 2008: 4997-5000 - [c5]Frédéric Duvert, Marie-Jean Meurs, Christophe Servan, Frédéric Béchet, Fabrice Lefèvre, Renato de Mori:
Semantic composition process in a speech understanding system. ICASSP 2008: 5029-5032 - [c4]Christophe Servan, Frédéric Béchet:
Fast call-classification system development without in-domain training data. INTERSPEECH 2008: 228-231 - 2006
- [c3]Christophe Servan, Christian Raymond, Frédéric Béchet, Pascal Nocera:
Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA. INTERSPEECH 2006 - [c2]Hélène Bonneau-Maynard, Christelle Ayache, Frédéric Béchet, Alexandre Denis, Anne Kuhn, Fabrice Lefèvre, Djamel Mostefa, Matthieu Quignard, Sophie Rosset, Christophe Servan, Jeanne Villaneau:
Results of the French Evalda-Media evaluation campaign for literal understanding. LREC 2006: 2054-2059 - [c1]Christophe Servan, Frédéric Béchet:
Décodage conceptuel et apprentissage automatique : application au corpus de dialogue Homme-Machine MEDIA. TALN (Articles longs) 2006: 328-337
Coauthor Index
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last updated on 2024-09-28 01:29 CEST by the dblp team
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