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2020 – today
- 2024
[c64]Wissam Antoun, Benoît Sagot, Djamé Seddah:
From Text to Source: Results in Detecting Large Language Model-Generated Content. LREC/COLING 2024: 7531-7543- [i24]Arij Riabi, Menel Mahamdi, Virginie Mouilleron, Djamé Seddah:
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks. CoRR abs/2406.17875 (2024) - 2023
- [j4]Manuela Sanguinetti
, Cristina Bosco, Lauren Cassidy, Özlem Çetinoglu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes:
Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations. Lang. Resour. Evaluation 57(2): 493-544 (2023) - [c63]Wissam Antoun, Benoît Sagot, Djamé Seddah:
Data-Efficient French Language Modeling with CamemBERTa. ACL (Findings) 2023: 5174-5185 - [c62]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 - [c61]Wissam Antoun, Virginie Mouilleron, Benoît Sagot, Djamé Seddah:
Towards a Robust Detection of Language Model-Generated Text: Is ChatGPT that easy to detect? CORIA-TALN (1) 2023: 14-27 - [c60]Galo Castillo-López, Arij Riabi, Djamé Seddah:
Analyzing Zero-Shot transfer Scenarios across Spanish variants for Hate Speech Detection. VarDial@EACL 2023: 1-13 - [i23]Wissam Antoun, Benoît Sagot, Djamé Seddah:
Data-Efficient French Language Modeling with CamemBERTa. CoRR abs/2306.01497 (2023) - [i22]Wissam Antoun, Virginie Mouilleron, Benoît Sagot, Djamé Seddah:
Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect? CoRR abs/2306.05871 (2023) - [i21]Arij Riabi, Menel Mahamdi, Djamé Seddah:
Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language. CoRR abs/2306.14866 (2023) - [i20]Wissam Antoun, Benoît Sagot, Djamé Seddah:
From Text to Source: Results in Detecting Large Language Model-Generated Content. CoRR abs/2309.13322 (2023) - 2022
- [c59]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. AACL/IJCNLP (Findings) 2022: 347-363 - [c58]Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah:
PAGnol: An Extra-Large French Generative Model. LREC 2022: 4275-4284 - [c57]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs. NAACL-HLT 2022: 5763-5776 - [c56]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) 2022: 498-512 - [c55]Arij Riabi, Syrielle Montariol, Djamé Seddah:
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection). TALN-RECITAL 2022: 413-423 - [c54]Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, Djamé Seddah:
Quand être absent de mBERT n'est que le commencement : Gérer de nouvelles langues à l'aide de modèles de langues multilingues (When Being Unseen from mBERT is just the Beginning : Handling New Languages With Multilingual Language Models). TALN-RECITAL 2022: 450-451 - [i19]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs. CoRR abs/2205.05943 (2022) - [i18]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles. CoRR abs/2206.11184 (2022) - [i17]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. CoRR abs/2210.13029 (2022) - 2021
- [c53]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Understanding the Impact of UGC Specificities on Translation Quality. W-NUT 2021: 189-198 - [c52]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 - [c51]Arij Riabi, Benoît Sagot, Djamé Seddah:
Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios? W-NUT 2021: 423-436 - [c50]Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah:
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. EACL 2021: 2214-2231 - [c49]Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano:
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. EMNLP (1) 2021: 7016-7030 - [c48]Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, Djamé Seddah:
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models. NAACL-HLT 2021: 448-462 - [e6]Dimitra Gkatzia, Djamé Seddah:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, EACL 2021, Online, April 19-23, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-05-3 [contents] - [i16]Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah:
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. CoRR abs/2101.11109 (2021) - [i15]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Challenging the Semi-Supervised VAE Framework for Text Classification. CoRR abs/2109.12969 (2021) - [i14]Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah:
PAGnol: An Extra-Large French Generative Model. CoRR abs/2110.08554 (2021) - [i13]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Understanding the Impact of UGC Specificities on Translation Quality. CoRR abs/2110.12551 (2021) - [i12]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) - [i11]Arij Riabi, Benoît Sagot, Djamé Seddah:
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? CoRR abs/2110.13658 (2021) - [i10]Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg:
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. CoRR abs/2112.14330 (2021) - 2020
- [c47]Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg:
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. ACL 2020: 538-555 - [c46]Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot, Abhishek Srivastava:
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell. ACL 2020: 1139-1150 - [c45]Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric de la Clergerie, Djamé Seddah, Benoît Sagot:
CamemBERT: a Tasty French Language Model. ACL 2020: 7203-7219 - [c44]Gosse Bouma, Djamé Seddah, Daniel Zeman:
Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. IWPT 2020 2020: 151-161 - [c43]Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, Özlem Çetinoglu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes:
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies. LREC 2020: 5240-5250 - [c42]Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah:
Les modèles de langue contextuels Camembert pour le français : impact de la taille et de l'hétérogénéité des données d'entrainement (C AMEM BERT Contextual Language Models for French: Impact of Training Data Size and Heterogeneity ). JEP-TALN-RECITAL (2) 2020: 54-65 - [e5]Gosse Bouma, Yuji Matsumoto, Stephan Oepen, Kenji Sagae, Djamé Seddah, Weiwei Sun, Anders Søgaard, Reut Tsarfaty, Dan Zeman:
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, IWPT 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-11-8 [contents] - [e4]Kilian Evang, Laura Kallmeyer, Rafael Ehren, Simon Petitjean, Esther Seyffarth, Djamé Seddah:
Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories, TLT 2020, Düsseldorf, Germany, October 27-28, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-01-9 [contents] - [i9]Benjamin Muller, Benoît Sagot, Djamé Seddah:
Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi. CoRR abs/2005.00318 (2020) - [i8]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting. CoRR abs/2010.06549 (2020) - [i7]Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano:
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. CoRR abs/2010.12643 (2020) - [i6]Benjamin Muller, Antonis Anastasopoulos, Benoît Sagot, Djamé Seddah:
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models. CoRR abs/2010.12858 (2020) - [i5]Manuela Sanguinetti, Lauren Cassidy, Cristina Bosco, Özlem Çetinoglu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes:
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations. CoRR abs/2011.02063 (2020) - [i4]Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Disentangling semantics in language through VAEs and a certain architectural choice. CoRR abs/2012.13031 (2020) - [i3]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
Sentence-Based Model Agnostic NLP Interpretability. CoRR abs/2012.13189 (2020) - [i2]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR abs/2012.13190 (2020)
2010 – 2019
- 2019
- [c41]Ganesh Jawahar, Benoît Sagot, Djamé Seddah:
What Does BERT Learn about the Structure of Language? ACL (1) 2019: 3651-3657 - [c40]Ganesh Jawahar, Djamé Seddah:
Contextualized Diachronic Word Representations. LChange@ACL 2019: 35-47 - [c39]Benjamin Muller, Benoît Sagot, Djamé Seddah:
Enhancing BERT for Lexical Normalization. W-NUT@EMNLP 2019: 297-306 - [c38]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Phonetic Normalization for Machine Translation of User Generated Content. W-NUT@EMNLP 2019: 407-416 - [c37]José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski:
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content. NODALIDA 2019: 2-14 - [i1]Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Djamé Seddah, Benoît Sagot:
CamemBERT: a Tasty French Language Model. CoRR abs/1911.03894 (2019) - 2018
- [c36]Ganesh Jawahar, Benjamin Muller, Amal Fethi, Louis Martin, Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah:
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing. CoNLL Shared Task (2) 2018: 223-237 - [c35]Amir More, Özlem Çetinoglu, Çagri Çöltekin, Nizar Habash, Benoît Sagot, Djamé Seddah, Dima Taji, Reut Tsarfaty:
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing. LREC 2018 - [c34]Djamé Seddah, Éric Villemonte de la Clergerie, Benoît Sagot, Héctor Martínez Alonso, Marie Candito:
Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer. LREC 2018 - 2017
- [c33]Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah:
The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy. CoNLL Shared Task (2) 2017: 243-252 - [c32]Marie Candito, Bruno Guillaume, Guy Perrier, Djamé Seddah:
Enhanced UD Dependencies with Neutralized Diathesis Alternation. DepLing 2017: 42-53 - 2016
- [c31]Héctor Martínez Alonso, Djamé Seddah, Benoît Sagot:
From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario. NUT@COLING 2016: 13-23 - [c30]Corentin Ribeyre, Éric Villemonte de la Clergerie, Djamé Seddah:
Accurate Deep Syntactic Parsing of Graphs: The Case of French. LREC 2016 - [c29]Djamé Seddah, Marie Candito:
Hard Time Parsing Questions: Building a QuestionBank for French. LREC 2016 - 2015
- [c28]Corentin Ribeyre, Éric Villemonte de la Clergerie, Djamé Seddah:
Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features. HLT-NAACL 2015: 64-74 - 2014
- [j3]Thierry Chanier, Céline Poudat, Benoît Sagot, Georges Antoniadis, Ciara Wigham, Linda Hriba, Julien Longhi, Djamé Seddah:
The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres. J. Lang. Technol. Comput. Linguistics 29(2): 1-30 (2014) - [j2]Djamé Seddah, Marie Candito, Enrique Henestroza Anguiano:
A word clustering approach to domain adaptation: Robust parsing of source and target domains. J. Log. Comput. 24(2): 395-411 (2014) - [c27]Marie Candito, Guy Perrier, Bruno Guillaume, Corentin Ribeyre, Karën Fort, Djamé Seddah, Éric Villemonte de la Clergerie:
Deep Syntax Annotation of the Sequoia French Treebank. LREC 2014: 2298-2305 - [c26]Corentin Ribeyre, Éric Villemonte de la Clergerie, Djamé Seddah:
Alpage: Transition-based Semantic Graph Parsing with Syntactic Features. SemEval@COLING 2014: 97-103 - [c25]Guy Perrier, Marie Candito, Bruno Guillaume, Corentin Ribeyre, Karën Fort, Djamé Seddah:
Annotation scheme for deep dependency syntax of French (Un schéma d'annotation en dépendances syntaxiques profondes pour le français) [in French]. TALN (2) 2014: 574-579 - 2013
- [j1]Reut Tsarfaty, Djamé Seddah, Sandra Kübler, Joakim Nivre:
Parsing Morphologically Rich Languages: Introduction to the Special Issue. Comput. Linguistics 39(1): 15-22 (2013) - [c24]Matthieu Constant, Marie Candito, Djamé Seddah:
The LIGM-Alpage architecture for the SPMRL 2013 Shared Task: Multiword Expression Analysis and Dependency Parsing. SPMRL@EMNLP 2013: 46-52 - [c23]Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho D. Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiórkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Wolinski, Alina Wróblewska, Éric Villemonte de la Clergerie:
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages. SPMRL@EMNLP 2013: 146-182 - 2012
- [c22]Joseph Le Roux, Benoît Sagot, Djamé Seddah:
Statistical Parsing of Spanish and Data Driven Lemmatization. SPMRL@ACL 2012 2012: 55-61 - [c21]Djamé Seddah, Benoît Sagot, Marie Candito, Virginie Mouilleron, Vanessa Combet:
The French Social Media Bank: a Treebank of Noisy User Generated Content. COLING 2012: 2441-2458 - [c20]Djamé Seddah, Marie Candito, Benoît Crabbé, Enrique Henestroza Anguiano:
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus. LREC 2012: 3249-3254 - [c19]Corentin Ribeyre, Djamé Seddah, Éric Villemonte de la Clergerie:
A linguistically-motivated 2-stage Tree to Graph Transformation. TAG 2012: 214-222 - [c18]Marie Candito, Djamé Seddah:
Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical (The Sequoia Corpus : Syntactic Annotation and Use for a Parser Lexical Domain Adaptation Method) [in French]. JEP-TALN-RECITAL 2012: 321-334 - [e3]Marianna Apidianaki, Ido Dagan, Jennifer Foster, Yuval Marton, Djamé Seddah, Reut Tsarfaty:
Proceedings of the Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages, SPMRL@ACL 2012, Jeju, Republic of Korea, July 12, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-30-5 [contents] - 2011
- [c17]Djamé Seddah, Joseph Le Roux, Benoît Sagot:
Data Driven Lemmatization and Parsing of Italian. EVALITA 2011: 249-256 - [c16]Marie Candito, Enrique Henestroza Anguiano, Djamé Seddah:
A Word Clustering Approach to Domain Adaptation: Effective Parsing of Biomedical Texts. IWPT 2011: 37-42 - [e2]Djamé Seddah, Reut Tsarfaty, Jennifer Foster:
Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages, SPMRL@IWPT 2011, Dublin, Ireland, October 6, 2011. Association for Computational Linguistics 2011, ISBN 978-1-932432-73-2 [contents] - 2010
- [c15]Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, Sandra Kübler, Yannick Versley, Marie Candito, Jennifer Foster, Ines Rehbein, Lamia Tounsi:
Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither. SPMRL@NAACL-HLT 2010: 1-12 - [c14]Marie Candito, Djamé Seddah:
Parsing Word Clusters. SPMRL@NAACL-HLT 2010: 76-84 - [c13]Djamé Seddah, Grzegorz Chrupala, Özlem Çetinoglu, Josef van Genabith, Marie Candito:
Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French. SPMRL@NAACL-HLT 2010: 85-93 - [c12]Djamé Seddah:
Exploring the Spinal-STIG Model for Parsing French. LREC 2010 - [c11]Djamé Seddah, Benoît Sagot, Laurence Danlos:
Control Verb, Argument Cluster Coordination and Multi Component TAG. TAG 2010: 101-110 - [e1]Djamé Seddah, Sandra Koebler, Reut Tsarfaty:
Proceedings of the First Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL@NAACL-HLT 2010, Los Angeles, CA, USA, June 5, 2010. Association for Computational Linguistics 2010 [contents]
2000 – 2009
- 2009
- [c10]Djamé Seddah, Marie Candito, Benoît Crabbé:
Cross parser evaluation : a French Treebanks study. IWPT 2009: 150-161 - [c9]Djamé Seddah, Marie Candito, Benoît Crabbé:
Adaptation de parsers statistiques lexicalisés pour le français : Une évaluation complète sur corpus arborés. TALN (Articles courts) 2009: 1-10 - 2008
- [c8]Djamé Seddah:
The use of MCTAG to Process Elliptic Coordination. TAG 2008: 81-88 - 2007
- [c7]Jennifer Foster, Joachim Wagner, Djamé Seddah, Josef van Genabith:
Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training. IWPT 2007: 33-35 - 2006
- [c6]Djamé Seddah, Benoît Sagot:
Modeling and Analysis of Elliptic Coordination by Dynamic Exploitation of Derivation Forests in LTAG Parsing. TAG 2006: 147-152 - [c5]Djamé Seddah, Benoît Sagot:
Modélisation et analyse des coordinations elliptiques par l'exploitation dynamique des forêts de dérivation. TALN (Posters) 2006: 609-618 - 2005
- [c4]Djamé Seddah, Bertrand Gaiffe:
How to Build Argumental Graphs Using TAG Shared Forest: A View from Control Verbs Problematic. LACL 2005: 287-300 - [c3]Djamé Seddah, Bertrand Gaiffe:
Des arbres de dérivation aux forêts de dépendance : un chemin via les forêts partagées. TALN (Articles longs) 2005: 341-350 - 2004
- [b1]Djamé Seddah:
Synchronisation des connaissances syntaxiques et sémantiques pour l'analyse d'énoncés en langage naturel à l'aide des grammaires d'arbres adjoints lexicalisés. Henri Poincaré University, Nancy, France, 2004 - 2002
- [c2]Djamé Seddah, Évelyne Jacquey:
Conceptualisation d'un système d'informations lexicales, une interface paramétrable pour le T.A.L. RECITAL 2002: 435-444 - 2000
- [c1]Miguel A. Alonso, Djamé Seddah, Éric Villemonte de la Clergerie:
Practical aspects in compiling tabular TAG parsers. TAG+ 2000: 27-32
Coauthor Index
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