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Guillaume Wisniewski
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2020 – today
- 2024
- [c82]Maxime Fily, Guillaume Wisniewski, Severine Guillaume, Gilles Adda, Alexis Michaud:
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models. EACL (Findings) 2024: 2332-2341 - [c81]Julie Tytgat, Guillaume Wisniewski, Adrien Betrancourt:
Interprétation des mesures de similarité entre représentations neuronales de textes. EGC 2024: 341-342 - [c80]Julie Tytgat, Guillaume Wisniewski, Adrien Betrancourt:
Évaluation de la Similarité Textuelle : Entre Sémantique et Surface dans les Représentations Neuronales. TALN (1) 2024: 85-96 - [c79]Maxime Fily, Guillaume Wisniewski, Séverine Guillaume, Gilles Adda, Alexis Michaud:
Mesure du niveau de proximité entre enregistrements audio et évaluation indirecte du niveau d'abstraction des représentations issues d'un grand modèle de langage. TALN (JEP) 2024: 112-121 - [i13]Maxime Fily, Guillaume Wisniewski, Severine Guillaume, Gilles Adda, Alexis Michaud:
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models. CoRR abs/2402.05581 (2024) - 2023
- [j9]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement. Trans. Assoc. Comput. Linguistics 11: 18-33 (2023) - [c78]Lina Conti
, Guillaume Wisniewski:
Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models. EMNLP 2023: 10362-10371 - [c77]Maureen de Seyssel, Marvin Lavechin, Hadrien Titeux, Arthur Thomas, Gwendal Virlet, Andrea Santos Revilla, Guillaume Wisniewski, Bogdan Ludusan, Emmanuel Dupoux:
ProsAudit, a prosodic benchmark for self-supervised speech models. INTERSPEECH 2023: 2963-2967 - [c76]José carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Multi-way Variational NMT for UGC: Improving Robustness in Zero-shot Scenarios via Mixture Density Networks. NoDaLiDa 2023: 447-459 - [c75]Lichao Zhu, Maria Zimina, Maud Bénard, Behnoosh Namdar, Nicolas Ballier, Guillaume Wisniewski, Jean-Baptiste Yunès:
Investigating Techniques for a Deeper Understanding of Neural Machine Translation (NMT) Systems through Data Filtering and Fine-tuning Strategies. WMT 2023: 275-281 - [i12]Maureen de Seyssel, Marvin Lavechin, Hadrien Titeux, Arthur Thomas, Gwendal Virlet, Andrea Santos Revilla, Guillaume Wisniewski, Bogdan Ludusan, Emmanuel Dupoux:
ProsAudit, a prosodic benchmark for self-supervised speech models. CoRR abs/2302.12057 (2023) - [i11]Séverine Guillaume, Guillaume Wisniewski, Alexis Michaud:
From 'Snippet-lects' to Doculects and Dialects: Leveraging Neural Representations of Speech for Placing Audio Signals in a Language Landscape. CoRR abs/2305.18602 (2023) - [i10]Lina Conti, Guillaume Wisniewski:
Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models. CoRR abs/2310.15852 (2023) - 2022
- [c74]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks. ACL (2) 2022: 501-507 - [c73]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System. BlackboxNLP@EMNLP 2022: 153-163 - [c72]Maureen de Seyssel, Guillaume Wisniewski, Emmanuel Dupoux:
Is the Language Familiarity Effect gradual ? A computational modelling approach. CogSci 2022 - [c71]Maureen de Seyssel
Probing phoneme, language and speaker information in unsupervised speech representations. INTERSPEECH 2022: 1402-1406 - [c70]Séverine Guillaume, Guillaume Wisniewski, Benjamin Galliot, Minh Chau Nguyen, Maxime Fily, Guillaume Jacques, Alexis Michaud:
Plugging a neural phoneme recognizer into a simple language model: a workflow for low-resource setting. INTERSPEECH 2022: 4905-4909 - [c69]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Les représentations distribuées sont-elles vraiment distribuées ? Observations sur la localisation de l'information syntaxique dans les tâches d'accord du verbe en français (How Distributed are Distributed Representations ? An Observation on the Locality of Syntactic). TALN-RECITAL 2022: 384-391 - [c68]Nicolas Ballier, Jean-Baptiste Yunès, Guillaume Wisniewski, Lichao Zhu, Maria Zimina-Poirot:
The SPECTRANS System Description for the WMT22 Biomedical Task. WMT 2022: 895-900 - [i9]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. CoRR abs/2202.12568 (2022) - [i8]Aurélien Max, Guillaume Wisniewski:
Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History. CoRR abs/2202.12575 (2022) - [i7]Maureen de Seyssel, Marvin Lavechin, Yossi Adi, Emmanuel Dupoux, Guillaume Wisniewski:
Probing phoneme, language and speaker information in unsupervised speech representations. CoRR abs/2203.16193 (2022) - [i6]Maureen de Seyssel, Guillaume Wisniewski, Emmanuel Dupoux:
Is the Language Familiarity Effect gradual? A computational modelling approach. CoRR abs/2206.13415 (2022) - [i5]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement. CoRR abs/2212.04523 (2022) - 2021
- [c67]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Understanding the Impact of UGC Specificities on Translation Quality. W-NUT 2021: 189-198 - [c66]José Carlos Rosales Núñez, Guillaume Wisniewski, Djamé Seddah:
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models. W-NUT 2021: 199-211 - [c65]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. BlackboxNLP@EMNLP 2021: 311-321 - [c64]Bingzhi Li, Guillaume Wisniewski:
Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense. EACL 2021: 3080-3089 - [c63]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement. EMNLP (1) 2021: 4599-4610 - [c62]Guillaume Wisniewski, Lichao Zhou, Nicolas Ballier, François Yvon:
Biais de genre dans un système de traduction automatiqueneuronale : une étude préliminaire (Gender Bias in Neural Translation : a preliminary study ). TALN (1) 2021: 11-25 - [c61]Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhou, Maria Zimina-Poirot:
The SPECTRANS System Description for the WMT21 Terminology Task. WMT@EMNLP 2021: 813-820 - [i4]Oliver Adams, Benjamin Galliot, Guillaume Wisniewski, Nicholas Lambourne, Ben Foley, Rahasya Sanders-Dwyer, Janet Wiles, Alexis Michaud, Séverine Guillaume, Laurent Besacier, Christopher Cox, Katya Aplonova, Guillaume Jacques, Nathan Hill:
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis. CoRR abs/2101.03027 (2021) - [i3]Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement. CoRR abs/2109.10133 (2021) - [i2]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Understanding the Impact of UGC Specificities on Translation Quality. CoRR abs/2110.12551 (2021) - [i1]José Carlos Rosales Núñez, Guillaume Wisniewski, Djamé Seddah:
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models. CoRR abs/2110.12552 (2021) - 2020
- [c60]Artem Sokolov, Guillaume Wisniewski, François Yvon:
Non-linear n-best List Reranking with Few Features. AMTA 2020 - [c59]Guillaume Wisniewski, Severine Guillaume, Alexis Michaud:
Phonemic Transcription of Low-Resource Languages: To What Extent can Preprocessing be Automated? SLTU-CCURL@LREC 2020: 306-315 - [c58]Alexis Michaud, Oliver Adams, Severine Guillaume, Guillaume Wisniewski:
Analyse d'erreurs de transcriptions phonémiques automatiques d'une langue « rare » : le na (mosuo) (Analyzing errors in automatic phonemic transcriptions of the Na (Mosuo) language (SinoTibetan family) Automatic phonemic transcription tools now reach high levels of accuracy on a single speaker with relatively small amounts of training data: on the order two to three hours of transcribed speech). JEP-TALN-RECITAL (1) 2020: 451-462
2010 – 2019
- 2019
- [c57]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Phonetic Normalization for Machine Translation of User Generated Content. W-NUT@EMNLP 2019: 407-416 - [c56]Guillaume Wisniewski, François Yvon:
How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project. NAACL-HLT (1) 2019: 218-227 - [c55]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content. NODALIDA 2019: 2-14 - [c54]Guillaume Wisniewski:
Combien d'exemples de tests sont-ils nécessaires à une évaluation fiable ? Quelques observations sur l'évaluation de l'analyse morphosyntaxique du français. (Some observations on the evaluation of PoS taggers). PFIA (Articles courts) 2019: 215-222 - 2018
- [j8]Lauriane Aufrant, Guillaume Wisniewski:
PanParser: a Modular Implementation for Efficient Transition-Based Dependency Parsing. Prague Bull. Math. Linguistics 111: 57-86 (2018) - [c53]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Quantifying training challenges of dependency parsers. COLING 2018: 3191-3202 - [c52]Guillaume Wisniewski:
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project. LREC 2018 - [c51]Guillaume Wisniewski, Ophélie Lacroix, François Yvon:
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles. NAACL-HLT (2) 2018: 401-406 - [c50]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees. NAACL-HLT (2) 2018: 413-419 - [c49]Marianna Apidianaki
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. NAACL-HLT (2) 2018: 480-485 - [c48]Jose Patino, Ruiqing Yin, Héctor Delgado, Hervé Bredin, Alain Komaty
Low-latency speaker spotting with online diarization and detection. Odyssey 2018: 140-146 - [c47]José Carlos Rosales Núñez, Guillaume Wisniewski:
Analyse morpho-syntaxique en présence d'alternance codique (PoS tagging of Code Switching). CORIA-TALN-RJC (TALN 2) 2018: 473-480 - [c46]Guillaume Wisniewski, François Yvon:
Divergences entre annotations dans le projet Universal Dependencies et leur impact sur l'évaluation des performance d'étiquetage morpho-syntaxique (Evaluating Annotation Divergences in the UD Project). CORIA-TALN-RJC (TALN 2) 2018: 567-576 - 2017
- [j7]Nicolas Pécheux, Guillaume Wisniewski
Reassessing the value of resources for cross-lingual transfer of POS tagging models. Lang. Resour. Evaluation 51(4): 927-960 (2017) - [c45]Guillaume Wisniewski, Ophélie Lacroix:
A Systematic Comparison of Syntactic Representations of Dependency Parsing. UDW@NoDaLiDa 2017: 146-152 - [c44]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
LIMSI$@$CoNLL'17: UD Shared Task. CoNLL Shared Task (2) 2017: 163-173 - [c43]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers. EACL (2) 2017: 318-323 - [c42]Guillaume Wisniewski, Hervé Bredin, Gregory Gelly, Claude Barras:
Combining Speaker Turn Embedding and Incremental Structure Prediction for Low-Latency Speaker Diarization. INTERSPEECH 2017: 3582-3586 - [c41]Éléonore Bartenlian, Margot Lacour, Matthieu Labeau, Alexandre Allauzen, Guillaume Wisniewski, François Yvon:
Adaptation au domaine pour l'analyse morpho-syntaxique (Domain Adaptation for PoS tagging). TALN (2) 2017: 134-141 - [c40]Guillaume Wisniewski:
LIMSI Submission for WMT'17 Shared Task on Bandit Learning. WMT 2017: 674-679 - 2016
- [c39]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge. COLING 2016: 119-130 - [c38]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian. LREC 2016 - [c37]Ophélie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing. HLT-NAACL 2016: 1058-1063 - [c36]Ophélie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Apprentissage d'analyseur en dépendances cross-lingue par projection partielle de dépendances (Cross-lingual learning of dependency parsers from partially projected dependencies). JEP-TALN-RECITAL (2) 2016: 1-14 - [c35]Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Ne nous arrêtons pas en si bon chemin : améliorations de l'apprentissage global d'analyseurs en dépendances par transition (Don't Stop Me Now ! Improved Update Strategies for Global Training of Transition-Based). JEP-TALN-RECITAL (2) 2016: 248-261 - [c34]Rachel Bawden, Guillaume Wisniewski, Hélène Maynard:
Investigating gender adaptation for speech translation. JEP-TALN-RECITAL (Posters) 2016: 490-497 - [c33]Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, Ophélie Lacroix, Elena Knyazeva, Thomas Lavergne, Guillaume Wisniewski, François Yvon:
LIMSI$@$WMT'16: Machine Translation of News. WMT 2016: 239-245 - 2015
- [c32]Elena Knyazeva, Guillaume Wisniewski, Hervé Bredin, François Yvon:
Structured prediction for speaker identification in TV series. INTERSPEECH 2015: 195-199 - [c31]Elena Knyazeva, Guillaume Wisniewski, François Yvon:
Apprentissage par imitation pour l'étiquetage de séquences : vers une formalisation des méthodes d'étiquetage easy-first. TALN (long papers) 2015: 1-12 - [c30]Nicolas Pécheux, Alexandre Allauzen, Thomas Lavergne, Guillaume Wisniewski, François Yvon:
Oublier ce qu'on sait, pour mieux apprendre ce qu'on ne sait pas : une étude sur les contraintes de type dans les modèles CRF. TALN (long papers) 2015: 37-48 - [c29]Guillaume Wisniewski, Nicolas Pécheux, François Yvon:
Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task. WMT@EMNLP 2015: 222-227 - 2014
- [c28]Guillaume Wisniewski, Nicolas Pécheux, Souhir Gahbiche-Braham
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning. EMNLP 2014: 1779-1785 - [c27]Guillaume Wisniewski, Natalie Kübler, François Yvon:
A Corpus of Machine Translation Errors Extracted from Translation Students Exercises. LREC 2014: 3585-3588 - [c26]Guillaume Wisniewski, Nicolas Pécheux, Elena Knyazeva, Alexandre Allauzen, François Yvon:
Cross-Lingual POS Tagging through Ambiguous Learning: First Experiments (Apprentissage partiellement supervisé d'un étiqueteur morpho-syntaxique par transfert cross-lingue) [in French]. TALN (1) 2014: 173-183 - [c25]Guillaume Wisniewski, Nicolas Pécheux, Alexandre Allauzen, François Yvon:
LIMSI Submission for WMT'14 QE Task. WMT@ACL 2014: 348-354 - 2013
- [j6]Guillaume Wisniewski, François Yvon:
Fast Large-Margin Learning for Statistical Machine Translation. Int. J. Comput. Linguistics Appl. 4(2): 45-62 (2013) - [j5]Guillaume Wisniewski, François Yvon
Oracle decoding as a new way to analyze phrase-based machine translation. Mach. Transl. 27(2): 115-138 (2013) - [j4]Guillaume Wisniewski, Anil Kumar Singh
Quality estimation for machine translation: some lessons learned. Mach. Transl. 27(3-4): 213-238 (2013) - [j3]Artem Sokolov, Guillaume Wisniewski, François Yvon
Lattice BLEU oracles in machine translation. ACM Trans. Speech Lang. Process. 10(4): 18:1-18:29 (2013) - [c24]Guillaume Wisniewski:
On the Predictability of Human Assessment: when Matrix Completion Meets NLP Evaluation. ACL (2) 2013: 137-142 - [c23]Guillaume Wisniewski, Anil Kumar Singh, Natalia Segal, François Yvon:
Design and Analysis of a Large Corpus of Post-Edited Translations: Quality Estimation, Failure Analysis and the Variability of Post-Edition. MTSummit 2013 - [c22]Guillaume Wisniewski, Anil Kumar Singh, Natalia Segal, François Yvon:
A corpus of post-edited translations (Un corpus d'erreurs de traduction) [in French]. TALN (2) 2013: 723-730 - [c21]Anil Kumar Singh, Guillaume Wisniewski, François Yvon:
LIMSI Submission for the WMT'13 Quality Estimation Task: an Experiment with N-Gram Posteriors. WMT@ACL 2013: 398-404 - 2012
- [c20]Artem Sokolov, Guillaume Wisniewski, François Yvon:
Computing Lattice BLEU Oracle Scores for Machine Translation. EACL 2012: 120-129 - [c19]Marianna Apidianaki, Guillaume Wisniewski, Artem Sokolov, Aurélien Max, François Yvon:
WSD for n-best reranking and local language modeling in SMT. SSST@ACL 2012: 1-9 - [c18]Yong Zhuang, Guillaume Wisniewski, François Yvon:
Non-Linear Models for Confidence Estimation. WMT@NAACL-HLT 2012: 157-162 - [c17]Hai Son Le, Thomas Lavergne, Alexandre Allauzen, Marianna Apidianaki, Li Gong, Aurélien Max, Artem Sokolov, Guillaume Wisniewski, François Yvon:
LIMSI @ WMT12. WMT@NAACL-HLT 2012: 330-337 - 2011
- [c16]Nadi Tomeh, Marco Turchi, Guillaume Wisniewski, Alexandre Allauzen, François Yvon:
How good are your phrases? assessing phrase quality with single class classification. IWSLT 2011: 261-268 - [c15]Alexandre Allauzen, Hélène Bonneau-Maynard, Hai Son Le, Aurélien Max, Guillaume Wisniewski, François Yvon, Gilles Adda, Josep Maria Crego, Adrien Lardilleux, Thomas Lavergne, Artem Sokolov:
LIMSI @ WMT11. WMT@EMNLP 2011: 309-315 - 2010
- [c14]Nadi Tomeh, Alexandre Allauzen, François Yvon, Guillaume Wisniewski:
Refining Word Alignment with Discriminative Training. AMTA 2010 - [c13]Hai Son Le, Alexandre Allauzen, Guillaume Wisniewski, François Yvon:
Training Continuous Space Language Models: Some Practical Issues. EMNLP 2010: 778-788 - [c12]Guillaume Wisniewski, Alexandre Allauzen, François Yvon:
Assessing Phrase-Based Translation Models with Oracle Decoding. EMNLP 2010: 933-943 - [c11]Alexandre Allauzen, Josep Maria Crego, Ilknur Durgar El-Kahlout, Hai Son Le, Guillaume Wisniewski, François Yvon:
LIMSI @ IWSLT 2010. IWSLT 2010: 105-112 - [c10]Aurélien Max, Guillaume Wisniewski:
Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History. LREC 2010 - [c9]Guillaume Wisniewski, Aurélien Max, François Yvon:
Recueil et analyse d'un corpus écologique de corrections orthographiques extrait des révisions de Wikipédia. TALN (Articles longs) 2010: 121-130
2000 – 2009
- 2009
- [j2]Alexandre Allauzen, Guillaume Wisniewski:
Discriminant Models for Word Alignment. Trait. Autom. des Langues 50(3): 173-203 (2009) - 2008
- [c8]Guillaume Wisniewski, Patrick Gallinari:
Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. ICDM 2008: 1097-1102 - 2007
- [j1]Guillaume Wisniewski, Francis Maes, Ludovic Denoyer:
Modèle probabiliste pour l'extraction de structures dans les documents web. Document Numérique 10(1): 89-107 (2007) - [c7]Guillaume Wisniewski, Patrick Gallinari:
Ré-ordonnancement pour l'apprentissage de transformations de documents HTML. EGC 2007: 727-738 - [c6]Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Model for Structured Document Mapping. MLDM 2007: 854-867 - [c5]Guillaume Wisniewski, Patrick Gallinari:
Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. PKDD 2007: 312-323 - [c4]Guillaume Wisniewski, Patrick Gallinari:
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations. RIAO 2007: 433-448 - 2006
- [c3]Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Patrick Gallinari:
Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. CORIA 2006: 169-180 - 2005
- [c2]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML. CORIA 2005: 167-184 - [c1]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Restructuration automatique de documents dans les corpus semi-structurés hétérogènes. EGC 2005: 227-238
Coauthor Index
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