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ORCIDÉric Gaussier
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- affiliation: Joseph Fourier University, Grenoble Informatics Laboratory (LIG)
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2020 – today
- 2024
[j46]Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller:
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. 2024 (2024)- [c144]Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CIKM 2024: 5062-5069 - [c143]Anna Laskina, Éric Gaussier, Gaëlle Calvary:
A Closer Look at Clustering Bilingual Comparable Corpora. LREC/COLING 2024: 133-142 - [c142]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. LREC/COLING 2024: 5247-5259 - [i27]Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier:
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR abs/2402.06500 (2024) - [i26]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. CoRR abs/2403.08970 (2024) - [i25]Alexandre Seiller, Éric Gaussier, Emilie Devijver, Marianne Clausel, Sami Alkhoury:
Ensembles of Probabilistic Regression Trees. CoRR abs/2406.14033 (2024) - 2023
- [j45]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Efficient bilingual lexicon extraction from comparable corpora based on formal concepts analysis. Nat. Lang. Eng. 29(1): 138-161 (2023) - [j44]Minghan Li
, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. ACM Trans. Inf. Syst. 41(3): 73:1-73:35 (2023) - [c141]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI 2023: 6839-6844 - [c140]Minghan Li, Éric Gaussier:
Adaptation de domaine pour la recherche dense par annotation automatique. CORIA-TALN 2023: 93-110 - [c139]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CORIA-TALN 2023: 213 - [i24]Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller:
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR abs/2306.08765 (2023) - [i23]Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan:
Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR abs/2307.15678 (2023) - [i22]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui:
Identifiability of total effects from abstractions of time series causal graphs. CoRR abs/2310.14691 (2023) - 2022
- [j43]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy 24(8): 1156 (2022) - [j42]Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier:
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy 24(9): 1234 (2022) - [j41]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. 73: 767-819 (2022) - [j40]Yaqiong Li, Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning With Schatten p-Norms. IEEE Trans. Cybern. 52(4): 2059-2069 (2022) - [c138]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
Listwise Learning to Rank Based on Approximate Rank Indicators. AAAI 2022: 8494-8502 - [c137]Minghan Li, Éric Gaussier:
Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval - Abstract. CIRCLE 2022 - [c136]Minghan Li, Éric Gaussier:
BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. SIGIR 2022: 2347-2352 - [c135]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Discovery of extended summary graphs in time series. UAI 2022: 96-106 - [e5]Fabio Crestani, Gabriella Pasi, Éric Gaussier:
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022. ACM 2022, ISBN 978-1-4503-9412-3 [contents] - [i21]Mariia Garkavenko, Éric Gaussier, Hamid Mirisaee, Cédric Lagnier, Agnès Guerraz:
Where Do You Want To Invest? Predicting Startup Funding From Freely, Publicly Available Web Information. CoRR abs/2204.06479 (2022) - [i20]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Inferring extended summary causal graphs from observational time series. CoRR abs/2205.09422 (2022) - [i19]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling. CoRR abs/2212.06552 (2022) - 2021
- [j39]Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier:
Towards syntax-aware token embeddings. Nat. Lang. Eng. 27(6): 691-720 (2021) - [c134]Johan Chagnon, Diana Nicoleta Popa, Yagmur Gizem Cinar, Éric Gaussier:
Modelling document-query interaction in a hierarchical neural model for IR. CORIA 2021 - [c133]Quentin Grail, Julien Perez, Éric Gaussier:
Globalizing BERT-based Transformer Architectures for Long Document Summarization. EACL 2021: 1792-1810 - [c132]Mariia Garkavenko, Hamid Mirisaee, Éric Gaussier, Agnès Guerraz, Cédric Lagnier:
Valuation of Startups: A Machine Learning Perspective. ECIR (1) 2021: 176-189 - [c131]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. ECML/PKDD (1) 2021: 453-468 - [c130]Minghan Li, Éric Gaussier:
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. SIGIR 2021: 2207-2211 - [c129]Diana Nicoleta Popa, William N. Havard, Maximin Coavoux, Éric Gaussier, Laurent Besacier:
Contribution d'informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs (Assessing the Contribution of Syntactic Information for Compositional Generalization of seq2seq Convolutional Networks). TALN (1) 2021: 134-141 - [i18]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. CoRR abs/2105.00942 (2021) - [i17]Karim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
Entropy-based Discovery of Summary Causal Graphs in Time Series. CoRR abs/2105.10381 (2021) - [i16]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CoRR abs/2111.09852 (2021) - 2020
- [j38]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
LTR-expand: query expansion model based on learning to rank association rules. J. Intell. Inf. Syst. 55(2): 261-286 (2020) - [j37]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly clustering with k-Means and learning representations. Pattern Recognit. Lett. 138: 185-192 (2020) - [c128]Romain Couillet, Yagmur Gizem Cinar, Éric Gaussier, Muhammad Imran:
Word Representations Concentrate and This is Good News! CoNLL 2020: 325-334 - [c127]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Seed-Guided Deep Document Clustering. ECIR (1) 2020: 3-16 - [c126]Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim:
Smooth And Consistent Probabilistic Regression Trees. NeurIPS 2020 - [c125]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. NeurIPS 2020 - [c124]Adrien Dulac, Éric Gaussier, Christine Largeron:
Mixed-Membership Stochastic Block Models for Weighted Networks. UAI 2020: 679-688 - [i15]Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning with Schatten p-Norms. CoRR abs/2002.11246 (2020) - [i14]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. CoRR abs/2003.11593 (2020)
2010 – 2019
- 2019
- [j36]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Should one use term proximity or multi-word terms for Arabic information retrieval? Comput. Speech Lang. 58: 76-97 (2019) - [j35]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. J. Artif. Intell. Res. 64: 21-53 (2019) - [j34]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
Word-embedding-based pseudo-relevance feedback for Arabic information retrieval. J. Inf. Sci. 45(4) (2019) - [c123]Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier:
Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. FLAIRS 2019: 203-208 - [c122]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
Scaling Causal Inference in Additive Noise Models. CD@KDD 2019: 22-33 - [c121]Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. PFIA (TIA) 2019: 31-42 - [e4]Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, Falk Scholer:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019. ACM 2019, ISBN 978-1-4503-6172-9 [contents] - [i13]Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. CoRR abs/1906.01874 (2019) - 2018
- [j33]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir:
Period-aware content attention RNNs for time series forecasting with missing values. Neurocomputing 312: 177-186 (2018) - [j32]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
Improving Arabic information retrieval using word embedding similarities. Int. J. Speech Technol. 21(1): 121-136 (2018) - [j31]Bo Li, Éric Gaussier, Dan Yang:
The Dilution/Concentration conditions for cross-language information retrieval models. Inf. Process. Manag. 54(2): 291-302 (2018) - [j30]Bo Li, Éric Gaussier, Dan Yang:
Measuring bilingual corpus comparability. Nat. Lang. Eng. 24(4): 523-549 (2018) - [j29]Cédric Lagnier, Éric Gaussier, François Kawala:
User-centered probabilistic models for content diffusion in the blogosphere. Online Soc. Networks Media 5: 61-75 (2018) - [j28]Maha Alsayasneh, Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama, Jean-Michel Renders:
Personalized and Diverse Task Composition in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(1): 128-141 (2018) - [j27]Éric Gaussier, Jérôme Lelong, Valentin Reis, Denis Trystram:
Online Tuning of EASY-Backfilling using Queue Reordering Policies. IEEE Trans. Parallel Distributed Syst. 29(10): 2304-2316 (2018) - [c120]Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. INLG 2018: 451-456 - [c119]Éric Gaussier:
Semantic Annotation in the Biomedical Domain: Large-scale Classification and BioASQ. WWW (Companion Volume) 2018: 1045 - [i12]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly Clustering with k-Means and Learning Representations. CoRR abs/1806.10069 (2018) - [i11]Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre:
Dealing with Uncertain Inputs in Regression Trees. CoRR abs/1810.11698 (2018) - [i10]Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. CoRR abs/1811.05826 (2018) - 2017
- [j26]Parantapa Goswami, Éric Gaussier, Massih-Reza Amini:
Exploring the space of information retrieval term scoring functions. Inf. Process. Manag. 53(2): 454-472 (2017) - [j25]Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. 18: 130:1-130:38 (2017) - [c118]Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) 2017: 1799-1809 - [c117]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Efficient Association Rules Selecting for Automatic Query Expansion. CICLing (2) 2017: 563-574 - [c116]Adrien Dulac, Éric Gaussier, Christine Largeron:
A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks. DSAA 2017: 706-715 - [c115]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. ICONIP (5) 2017: 533-544 - [c114]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining. PAKDD (1) 2017: 586-598 - [i9]Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. CoRR abs/1702.06879 (2017) - [i8]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. CoRR abs/1703.10089 (2017) - [i7]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. CoRR abs/1709.05666 (2017) - 2016
- [j24]Éric Gaussier, Longbing Cao:
Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 13-14 (2016) - [j23]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Efficient local search for L1 and L2 binary matrix factorization. Intell. Data Anal. 20(4): 783-807 (2016) - [j22]François Kawala, Éric Gaussier, Ahlame Douzal Chouakria, Eustache Diemert:
A study of different keyword activity prediction problems in social media. Int. J. Soc. Netw. Min. 2(3): 224-255 (2016) - [j21]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini, Cécile Amblard:
Learning Taxonomy Adaptation in Large-scale Classification. J. Mach. Learn. Res. 17: 98:1-98:37 (2016) - [j20]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Generalized k-means-based clustering for temporal data under weighted and kernel time warp. Pattern Recognit. Lett. 75: 63-69 (2016) - [c113]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Arabic Text Classification Based on Word and Document Embeddings. AISI 2016: 32-41 - [c112]Abdelkader El Mahdaouy, Said Ouatik El Alaoui, Éric Gaussier:
Semantically enhanced term frequency based on word embeddings for Arabic information retrieval. CIST 2016: 385-389 - [c111]Raghav Goyal, Marc Dymetman, Éric Gaussier:
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. COLING 2016: 1083-1092 - [c110]Georgios Balikas, Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Modeling topic dependencies in semantically coherent text spans with copulas. COLING 2016: 1767-1776 - [c109]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Expansion de requêtes par apprentissage. CORIA-CIFED 2016: 267-282 - [c108]Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. DSAA 2016: 194-203 - [c107]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. ICML 2016: 2071-2080 - [c106]Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. KDD 2016: 695-704 - [i6]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. CoRR abs/1606.06357 (2016) - [i5]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Similarity Learning for Time Series Classification. CoRR abs/1610.04783 (2016) - 2015
- [j19]George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, Georgios Paliouras:
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 16: 138:1-138:28 (2015) - [j18]Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos:
Evaluation measures for hierarchical classification: a unified view and novel approaches. Data Min. Knowl. Discov. 29(3): 820-865 (2015) - [j17]Éric Gaussier, Sylvie Calabretto:
Introduction. Document Numérique 18(2-3): 7-8 (2015) - [c105]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Improved Local Search for Binary Matrix Factorization. AAAI 2015: 1198-1204 - [c104]Vincent Leroy, Sihem Amer-Yahia, Éric Gaussier, Seyed Hamid Mirisaee:
Building Representative Composite Items. CIKM 2015: 1421-1430 - [c103]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
À la recherche des paramètres des modèles de RI. CORIA 2015: 173-187 - [c102]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Multilingual Documents Clustering Based on Closed Concepts Mining. DEXA (1) 2015: 517-524 - [c101]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier, Yassin Belhareth:
Learning Query Expansion from Association Rules Between Terms. KDIR 2015: 525-530 - [c100]Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov:
Supervised Topic Classification for Modeling a Hierarchical Conference Structure. ICONIP (1) 2015: 90-97 - [c99]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) 2015: 253-263 - [c98]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR 2015: 121-130 - [c97]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR 2015: 365-368 - [c96]Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar, Massih-Reza Amini:
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. IDA 2015: 25-36 - [c95]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier:
On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA 2015: 132-144 - [c94]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Extraction of Interlingual Documents Clusters Based on Closed Concepts Mining. KES 2015: 537-546 - [c93]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 144-156 - [c92]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Joint Semi-supervised Similarity Learning for Linear Classification. ECML/PKDD (1) 2015: 594-609 - [c91]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Progressive and Iterative Approaches for Time Series Averaging. AALTD@PKDD/ECML 2015 - [c90]Éric Gaussier, David Glesser, Valentin Reis, Denis Trystram:
Improving backfilling by using machine learning to predict running times. SC 2015: 64:1-64:10 - [c89]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) 2015 - [e3]Éric Gaussier, Mathias Géry:
CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Paris, France, March 18-20, 2015. ARIA 2015 [contents] - [i4]Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari:
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR abs/1503.08581 (2015) - 2014
- [j16]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j15]Josiane Mothe, Yoann Pitarch, Éric Gaussier:
Big data, le cas des systèmes d'information. Ingénierie des Systèmes d Inf. 19(3): 9-48 (2014) - [j14]Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On power law distributions in large-scale taxonomies. SIGKDD Explor. 16(1): 47-56 (2014) - [c88]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Exploring term proximity statistic for Arabic information retrieval. CIST 2014: 272-277 - [c87]François Kawala, Éric Gaussier, Ahlame Douzal, Eustache Diemert:
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. CORIA-CIFED 2014: 337-351 - [c86]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Itemset approximation using Constrained Binary Matrix Factorization. DSAA 2014: 39-45 - [c85]Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes:
Exploring the Space of IR Functions. ECIR 2014: 372-384 - [c84]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Re-ranking approach to classification in large-scale power-law distributed category systems. SIGIR 2014: 1059-1062 - [c83]Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. WSDM 2014: 687-688 - [i3]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
A Study of Association Measures and their Combination for Arabic MWT Extraction. CoRR abs/1409.3005 (2014) - 2013
- [b1]Massih-Reza Amini, Éric Gaussier:
Recherche d'Information - applications, modèles et algorithmes. Eyrolles 2013, ISBN 978-2-212-13532-9, pp. I-XIX, 1-233 - [j13]Bo Li, Éric Gaussier:
Modèles d'information pour la recherche multilingue. Document Numérique 16(2): 11-30 (2013) - [c82]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Transferring knowledge with source selection to learn IR functions on unlabeled collections. CIKM 2013: 2315-2320 - [c81]Ioannis Partalas, Éric Gaussier, Axel-Cyrille Ngonga Ngomo:
Results of the First BioASQ Workshop. BioASQ@CLEF 2013 - [c80]Parantapa Goswami, Éric Gaussier:
Estimation du paramètre de collection des modèles d'information pour la RI. CORIA 2013: 201-216 - [c79]Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari:
Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR 2013: 74-85 - [c78]Parantapa Goswami, Éric Gaussier:
Estimation of the Collection Parameter of Information Models for IR. ECIR 2013: 459-470 - [c77]Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier, Massih-Reza Amini:
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. ESWC (Satellite Events) 2013: 310-311 - [c76]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. ICONIP (1) 2013: 336-343 - [c75]Stéphane Clinchant, Éric Gaussier:
A Theoretical Analysis of Pseudo-Relevance Feedback Models. ICTIR 2013: 6 - [c74]Cedric Frambourg, Ahlame Douzal Chouakria, Éric Gaussier:
Learning Multiple Temporal Matching for Time Series Classification. IDA 2013: 198-209 - [c73]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Alexandre Termier, Aurélie Bertaux, Éric Gaussier, Marie-Christine Rousset:
Towards a Framework for Semantic Exploration of Frequent Patterns. IMMoA 2013: 7-14 - [c72]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On Flat versus Hierarchical Classification in Large-Scale Taxonomies. NIPS 2013: 1824-1832 - [p4]Bo Li, Éric Gaussier:
Exploiting Comparable Corpora for Lexicon Extraction: Measuring and Improving Corpus Quality. Building and Using Comparable Corpora 2013: 131-149 - [d2]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Buzz in social media. UCI Machine Learning Repository, 2013
- [d1]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Predict keywords activities in a online social media. UCI Machine Learning Repository, 2013 - [i2]Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos:
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches. CoRR abs/1306.6802 (2013) - 2012
- [j12]Stéphane Clinchant, Éric Gaussier:
Une analyse théorique des modèles de rétro-pertinence. Document Numérique 15(1): 125-146 (2012) - [j11]Cédric Lagnier, Éric Gaussier, François Kawala:
Modéliser l'utilisateur pour la diffusion de l'information dans les réseaux sociaux. Ingénierie des Systèmes d Inf. 17(6): 115-136 (2012) - [j10]Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse, Éric Gaussier, Joo-Hwee Lim:
Visual graph modeling for scene recognition and mobile robot localization. Multim. Tools Appl. 60(2): 419-441 (2012) - [c71]George Tsatsaronis, Michael Schroeder, Georgios Paliouras, Yannis Almirantis, Ion Androutsopoulos, Éric Gaussier, Patrick Gallinari, Thierry Artières, Michael R. Alvers, Matthias Zschunke, Axel-Cyrille Ngonga Ngomo:
BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c70]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Cécile Amblard:
On empirical tradeoffs in large scale hierarchical classification. CIKM 2012: 2299-2302 - [c69]Bo Li, Éric Gaussier:
Modèles d'information pour la recherche multilingue. CORIA 2012: 9-24 - [c68]Bo Li, Éric Gaussier:
An Information-Based Cross-Language Information Retrieval Model. ECIR 2012: 281-292 - [c67]Ioannis Partalas, Rohit Babbar, Éric Gaussier, Cécile Amblard:
Adaptive Classifier Selection in Large-Scale Hierarchical Classification. ICONIP (3) 2012: 612-619 - [c66]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. RUE@RecSys 2012: 9-14 - [p3]Stéphane Clinchant, Éric Gaussier:
Probabilistic Models for Information Retrieval. Textual Information Access: Statistical Models 2012: 3-32 - [p2]Sujeevan Aseervatham, Éric Gaussier, Anestis Antoniadis, Michel Burlet, Yves Denneulin:
Logistic Regression and Text Classification. Textual Information Access: Statistical Models 2012: 61-84 - [e2]Éric Gaussier, François Yvon:
Textual Information Access: Statistical Models. Wiley-ISTE 2012, ISBN 978-1-84821-322-7 [contents] - [i1]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. CoRR abs/1209.1983 (2012) - 2011
- [j9]Stéphane Clinchant, Éric Gaussier:
Modèles de RI fondés sur l'information. Document Numérique 14(2): 103-123 (2011) - [j8]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions a log-logistic model for IR. Inf. Retr. 14(1): 5-25 (2011) - [j7]Sujeevan Aseervatham, Anestis Antoniadis, Éric Gaussier, Michel Burlet, Yves Denneulin:
A sparse version of the ridge logistic regression for large-scale text categorization. Pattern Recognit. Lett. 32(2): 101-106 (2011) - [c65]Bo Li, Éric Gaussier, Akiko N. Aizawa:
Clustering Comparable Corpora For Bilingual Lexicon Extraction. ACL (2) 2011: 473-478 - [c64]Stéphane Clinchant, Éric Gaussier:
A Document Frequency Constraint for Pseudo-Relevance Feedback Models. CORIA 2011: 73-88 - [c63]Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth:
Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid. EGC 2011: 215-220 - [c62]Stéphane Clinchant, Éric Gaussier:
Is Document Frequency Important for PRF? ICTIR 2011: 89-100 - [c61]Stéphane Clinchant, Éric Gaussier:
Do IR models satisfy the TDC retrieval constraint. SIGIR 2011: 1155-1156 - [c60]Éric Gaussier:
Models of information diffusion in social networks. SoICT 2011: 2 - [c59]Bo Li, Éric Gaussier, Emmanuel Morin, Amir Hazem:
Degré de comparabilité, extraction lexicale bilingue et recherche d'information interlingue (Degree of comparability, bilingual lexical extraction and cross-language information retrieval). TALN (Articles longs) 2011: 141-152 - 2010
- [j6]Éric Gaussier:
Statistical Language Models for Information Retrieval - ChengXiang Zhai, Morgan & Claypool, 2008; xiii+125 pp, ISBN 978-1-59829-590-0. Comput. Linguistics 36(2): 279-281 (2010) - [j5]Aris Kosmopoulos, Éric Gaussier, Georgios Paliouras, Sujeevan Aseervatham:
The ECIR 2010 large scale hierarchical classification workshop. SIGIR Forum 44(1): 23-32 (2010) - [c58]Cédric Lagnier, Éric Gaussier:
Un Modèle de Diffusion de l'Information dans les Réseaux Sociaux. AAFD 2010: 49-64 - [c57]Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse, Éric Gaussier, Ali Aït-Bachir:
Integration of spatial relationships in visual language model for scene retrieval. CBMI 2010: 1-6 - [c56]Bo Li, Éric Gaussier:
Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora. COLING 2010: 644-652 - [c55]Stéphane Clinchant, Éric Gaussier:
Modèles de RI fondés sur l'information. CORIA 2010: 99-114 - [c54]Ali Mustafa Qamar, Éric Gaussier:
Similarity Learning in Nearest Neighbor and Relief Algorithm. ICMLA 2010: 183-189 - [c53]Stéphane Clinchant, Éric Gaussier:
Information-based models for ad hoc IR. SIGIR 2010: 234-241 - [c52]Ali Mustafa Qamar, Éric Gaussier:
Similarity learning in nearest neighbor, positive semi-definitiveness and RELIEF algorithm. SoCPaR 2010: 291-296 - [p1]Loïc Maisonnasse, Jean-Pierre Chevallet, Éric Gaussier:
Conceptual Indexing Contribution to ImageCLEF Medical Retrieval Tasks. ImageCLEF 2010: 381-396 - [r1]Jacques Savoy, Éric Gaussier:
Information Retrieval. Handbook of Natural Language Processing 2010: 455-484
2000 – 2009
- 2009
- [c51]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions: a log-logistic model for IR. CIKM 2009: 1975-1978 - [c50]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (1) 2009: 354-361 - [c49]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (Working Notes) 2009 - [c48]Trong-Ton Pham, Loïc Maisonnasse, Philippe Mulhem, Éric Gaussier:
Modèle de langue visuel pour la reconnaissance de scènes. CORIA 2009: 99-112 - [c47]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Model Fusion in Conceptual Language Modeling. ECIR 2009: 240-251 - [c46]Ali Mustafa Qamar, Éric Gaussier:
Online and Batch Learning of Generalized Cosine Similarities. ICDM 2009: 926-931 - [c45]Stéphane Clinchant, Éric Gaussier:
Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR. ICTIR 2009: 54-65 - 2008
- [c44]Stéphane Clinchant, Éric Gaussier:
Modélisation probabiliste de collections textuelles et distributions de mots. AAFD 2008: 1-20 - [c43]Vincent Bodinier, Ali Mustafa Qamar, Éric Gaussier:
Online Document Filtering Using Adaptive k-NN. CLEF 2008: 947-950 - [c42]Éric Gaussier, Ali Mustafa Qamar, Vincent Bodinier:
Working Notes for the InFile Campaign : Online Document Filtering Using 1 Nearest Neighbor. CLEF (Working Notes) 2008 - [c41]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Multi-Relation Modeling on Multi Concept Extraction LIG participation at ImageClefMed. CLEF (Working Notes) 2008 - [c40]Loïc Maisonnasse, Philippe Mulhem, Éric Gaussier, Jean-Pierre Chevallet:
LIG at ImageCLEF 2008. CLEF 2008: 704-711 - [c39]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Modélisation de relations dans l'approche modèle de langue en recherche d'information. CORIA 2008: 305-319 - [c38]Stéphane Clinchant, Éric Gaussier:
The BNB Distribution for Text Modeling. ECIR 2008: 150-161 - [c37]Ali Mustafa Qamar, Éric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim:
Similarity Learning for Nearest Neighbor Classification. ICDM 2008: 983-988 - 2007
- [c36]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Multiplying Concept Sources for Graph Modeling. CLEF 2007: 585-592 - [c35]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Multiplying Concept Sources for Graph Modeling. CLEF (Working Notes) 2007 - [c34]Éric Gaussier:
Recherche d'information: fondements et modèles. INFORSID 2007: 3-6 - [c33]Éric Gaussier, François Pacull:
Distributed Categorizer for Large Category Systems. NATO ASI Mining Massive Data Sets for Security 2007: 87-88 - [c32]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Revisiting the dependence language model for information retrieval. SIGIR 2007: 695-696 - 2006
- [c31]Leïla Kefi, Catherine Berrut, Éric Gaussier:
Un modèle de RI basé sur des critères d'obligation et de certitude. CORIA 2006: 155-160 - [c30]Stéphane Clinchant, Cyril Goutte, Éric Gaussier:
Lexical Entailment for Information Retrieval. ECIR 2006: 217-228 - [c29]Martin Nyffenegger, Jean-Cédric Chappelier, Éric Gaussier:
Revisiting Fisher Kernels for Document Similarities. ECML 2006: 727-734 - [c28]Jean-Michel Renders, Éric Gaussier, Cyril Goutte, François Pacull, Gabriela Csurka:
Categorization in multiple category systems. ICML 2006: 745-752 - [c27]Stelios Piperidis, Harris Papageorgiou, Katerina Pastra, Thomas Netousek, Éric Gaussier, Tinne Tuytelaars, Fabio Crestani, Francis Bodson, Chris Mellor:
Multimedia Content Processing and Retrieval in the REVEAL THIS Setting. SAMT (Posters and Demos) 2006 - [e1]Dan Jurafsky, Éric Gaussier:
EMNLP 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia. ACL 2006, ISBN 1-932432-73-6 [contents] - 2005
- [j4]Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Fatiha Sadat:
Automatic processing of multilingual medical terminology: applications to thesaurus enrichment and cross-language information retrieval. Artif. Intell. Medicine 33(2): 111-124 (2005) - [j3]Pavel B. Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, Éric Gaussier:
Assisting medical annotation in Swiss-Prot using statistical classifiers. Int. J. Medical Informatics 74(2-4): 317-324 (2005) - [c26]Cyril Goutte, Éric Gaussier:
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation. ECIR 2005: 345-359 - [c25]Leïla Kefi, Catherine Berrut, Éric Gaussier:
Indexation complexe de documents: vers une vérification qualitative. INFORSID 2005: 521-536 - [c24]Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Kenji Yamada, Philippe Langlais, Arne Mauser:
Translating with Non-contiguous Phrases. HLT/EMNLP 2005: 755-762 - [c23]Éric Gaussier, Cyril Goutte:
Relation between PLSA and NMF and implications. SIGIR 2005: 601-602 - [c22]Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Philippe Langlais, Arne Mauser, Kenji Yamada:
Une approche à la traduction automatique statistique par segments discontinus. TALN (Articles longs) 2005: 231-240 - 2004
- [c21]Cyril Goutte, Kenji Yamada, Éric Gaussier:
Aligning words using matrix factorisation. ACL 2004: 502-509 - [c20]Éric Gaussier, Jean-Michel Renders, Irina Matveeva, Cyril Goutte, Hervé Déjean:
A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora. ACL 2004: 526-533 - [c19]Cyril Goutte, Pavel B. Dobrokhotov, Éric Gaussier, Anne-Lise Veuthey:
Corpus-Based vs. Model-Based Selection of Relevant Features. CORIA 2004: 75-88 - 2003
- [j2]Nicola Cancedda, Éric Gaussier, Cyril Goutte, Jean-Michel Renders:
Word-Sequence Kernels. J. Mach. Learn. Res. 3: 1059-1082 (2003) - [c18]Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov:
Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF 2003: 98-107 - [c17]Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov:
Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF (Working Notes) 2003 - [c16]Leïla Kefi, Catherine Berrut, Éric Gaussier:
Modèle d'indexation de documents peu symboliques dans des documents structurés: L'exemple du graphique dans un corpus de documents techniques. INFORSID 2003: 69-86 - [c15]Pavel B. Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, Éric Gaussier:
Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotation. ISMB (Supplement of Bioinformatics) 2003: 91-94 - [c14]Pavel B. Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, Éric Gaussier:
A Probabilistic Information Retrieval Approach to Medical Annotation in SWISS-PROT. MIE 2003: 421-426 - [c13]Hervé Déjean, Éric Gaussier, Cyril Goutte, Kenji Yamada:
Reducing Parameter Space for Word Alignment. ParallelTexts@NAACL-HLT 2003 - 2002
- [c12]Jean-Michel Renders, Hervé Déjean, Éric Gaussier:
Assessing Automatically Extracted Bilingual Lexicons for CLIR in Vertical Domains: XRCE Participation in the GIRT Track of CLEF 2002. CLEF 2002: 363-371 - [c11]Jean-Michel Renders, Hervé Déjean, Éric Gaussier:
XRCE Participation in CLEF 2002. CLEF (Working Notes) 2002 - [c10]Hervé Déjean, Éric Gaussier, Fatiha Sadat:
An Approach Based on Multilingual Thesauri and Model Combination for Bilingual Lexicon Extraction. COLING 2002 - [c9]Cyril Goutte, Hervé Déjean, Éric Gaussier, Nicola Cancedda, Jean-Michel Renders:
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition. CoNLL 2002 - [c8]Éric Gaussier, Cyril Goutte, Kris Popat, Francine Chen:
A Hierarchical Model for Clustering and Categorising Documents. ECIR 2002: 229-247 - 2001
- [c7]Éric Gaussier, Nicola Cancedda:
Probabilistic models for PP-attachment resolution and NP analysis. CoNLL 2001 - [c6]Éric Gaussier, Nicola Cancedda:
Probabilistic models for terminology extraction and knowledge structuring from documents. SMC 2001: 945-950 - 2000
- [c5]François Trouilleux, Éric Gaussier, Gabriel G. Bès, Annie Zaenen:
Coreference Resolution Evaluation Based on Descriptive Specificity. LREC 2000
1990 – 1999
- 1998
- [c4]Éric Gaussier:
Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora. COLING-ACL 1998: 444-450 - 1997
- [j1]Jean-Marc Langé, Éric Gaussier, Béatrice Daille:
Bricks and Skeletons: Some Ideas for the Near Future of MAHT. Mach. Transl. 12(1-2): 39-51 (1997) - [c3]Éric Gaussier, Gregory Grefenstette, David A. Hull, B. Maximilian Schulze:
Xerox TREC-6 Site Report: Cross Language Text Retrieval. TREC 1997: 775-788 - 1996
- [c2]David A. Hull, Gregory Grefenstette, B. Maximilian Schulze, Éric Gaussier, Hinrich Schütze, Jan O. Pedersen:
Xerox TREC-5 Site Report: Routing, Filtering, NLP, and Spanish Tracks. TREC 1996 - 1994
- [c1]Béatrice Daille, Éric Gaussier, Jean-Marc Langé:
Towards Automatic Extraction of Monolingual and Bilingual Terminology. COLING 1994: 515-524
Coauthor Index
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