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Éric 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) - [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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