Book

Our followup book to the Machine Learning for Multilingual Information Access workshop (at NIPS'06) was published by MIT Press in January 2009.

[order from  amazon .ca .uk .fr, or others]

Other publications, by date

These are the main publications I have been associated with. I am trying to make available as many of these as possible, either through the publisher's website, or as preprints, when available. If you are interested in a publication that is not in this list, please send me an email at NRC (Cyril dot Goutte at nrc-cnrc.gc.ca). Technical reports (will) have a separate page.

2010

• Massih-Reza Amini and Cyril Goutte (2010) A Co-classification Approach to Learning from Multilingual Corpora, to appear in Machine Learning, special issue on Learning from Multiple Sources.

2009

• Massih-Reza Amini, Nicolas Usunier and Cyril Goutte (2009) Learning from Multiple Partially Observed Views -- an Application to
    Multilingual Text Categorization, to appear in NIPS'09.
  

• David Kurokawa, Cyril Goutte and Pierre Isabelle (2009) Automatic Detection of Translated Text and its Impact on Machine Translation, Proceedings of MT-Summit XII.

• Cyril Goutte, David Kurokawa and Pierre Isabelle (2009) Improving SMT by learning the translation direction, EAMT 2009 workshop "Statistical Multilingual Analysis for Retrieval and Translation", Barcelona.

• Nicola Cancedda, Marc Dymetman, George Foster and Cyril Goutte (2009) A Statistical Machine Translation Primer, Chapter 1 in Learning Machine Translation, MIT Press.

2008

• Massih-Reza Amini, Vinh Truong and Cyril Goutte (2008) A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data, ACM Conference on Research and Development in Information Retrieval (SIGIR 2008), ACM, pp. 99-106.
  

• Roland Kuhn, Pierre Isabelle, Cyril Goutte and Michel Simard (2008) Recent Advances in Automatic Post-Editing, MultilLingual, to appear.
  

• Anastasia Krithara, Massih-Reza Amini, Jean-Michel Renders and Cyril Goutte (2008) Semi-supervised Document Classification with a Mislabeling Error Model, in C. Macdonald, I. Ounis, V. Plachouras, I. Ruthven, and R.W. White (Eds.) Advances in Information Retrieval -- 30th European Conference on IR Research (ECIR'08), Lecture Notes in Computer Science 4956, Springer, pp. 370-381.
  

2007

• Cyril Goutte (2007) A Probabilistic Model for Fast and Confident Categorization of Textual Documents, in M. Berry and M. Castelanos (Eds) Survey of Text Mining II: Clustering, Classification, and Retrieval, Springer Verlag, pp. 187-202.
  

• Rokia Missaoui, Cyril Goutte, Anicet Kouomou Choupo and Ameur Boujenoui (2007) A Probabilistic Model for Data Cube Compression and Query Approximation, in Il-Y. Song and T.B. Pedersen (Eds.) ACM Tenth International Workshop on Data Warehousing and OLAP (DOLAP 2007), ACM, pp. 33-40.
  

• Pierre Isabelle, Michel Simard and Cyril Goutte (2007) Domain adaptation of MT systems through automatic post-editing, Machine Translation Summit XI, pp. 255-261.
  

• Cyril Goutte (2007) Fast and Confident Probabilistic Categorisation, SIAM International Conference on Data Mining, Workshop on Text Mining (TMW'07).
  

• Michel Simard, Cyril Goutte and Pierre Isabelle (2007) Statistical Phrase-based Post-editing, Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007).

2006

• Anasthasia Krithara, Cyril Goutte, Massih-Reza Amini and Jean-Michel Renders (2006) Reducing the Annotation Burden in Text Classification, First International Conference on Multidisciplinary Information Sciences and Technologies (InSciT2006), Merida, Spain, 25-28 October.

• Anasthasia Krithara, Cyril Goutte, Massih-Reza Amini and Jean-Michel Renders (2006) Active, Semi-Supervised Learning for Textual Information Access, International Workshop on Intelligent Information Access (IIIA-2006), Helsinki, Finland, 6-8 July.

• Jean-Michel Renders, Eric Gaussier, Cyril Goutte, François Pacull and Gabriela Csurka (2006) Categorization in Multiple Category Systems, International Conference on Machine Learning (ICML'06), pp. 745-752.

• Stéphane Clinchant, Cyril Goutte and Eric Gaussier (2006) Lexical Entailment for Information Retrieval, Advances in Information Retrieval - 28th European Conference on IR Research (ECIR'06), Lecture Notes in Computer Science 3936, Springer, pp. 217-228.

2005

• M. Simard, N. Cancedda, B. Cavestro, M. Dymetman, E. Gaussier, C. Goutte, Philippe Langlais, Arne Mauser and K. Yamada (2005) Translating with non-contiguous phrases, Proceedings of HLT-EMNLP 2005. [Citations]
  

• P. Ahrendt, J. Larsen and C. Goutte (2005) Co-occurrence models in music genre classification, IEEE International Workshop on Machine Learning for Signal Processing, pp. 247-252.

• E. Gaussier and C. Goutte (2005) Relation between PLSA and NMF and Implications, ACM Conference on Research and Development in Information Retrieval, SIGIR 2005, pp. 601-602. [Citations]
  

• E. Gaussier and C. Goutte (2005) Learning from partially labelled data_with confidence, ICML 2005 Workshop on Learning with Partially Classified Training Data.

• M. Simard, N. Cancedda, B. Cavestro, M. Dymetman, E. Gaussier, C. Goutte, P. Langlais, A. Mauser, K. Yamada (2005) Traduction automatique statistique avec des segments discontinus, Traitement Automatique des Langues Naturelles (TALN 2005), Volume 1, pp. 233-242.

• C. Goutte and E. Gaussier (2005) A Probabilistic Interpretation of Precision, Recall and F-score, with Implication for Evaluation, in D.E. Losada and J.M. Fernandez-Luna (eds), Advances in Information Retrieval - 27th European Conference on IR Research (ECIR'05), Lecture Notes in Computer Science 3408, Springer, pp. 345-359. [Citations]
  

2004

• J. Blatz, E. Fitzgerald, G. Foster, S. Gandrabur, C. Goutte, A. Kulesza, A. Sanchis, N. Ueffing (2004) Confidence Estimation for Machine Translation, Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004), pp. 315-321. [Citations]
  

• C. Goutte, K. Yamada, E. Gaussier (2004) Aligning words with matrix factorisation, Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), pp. 503-510. [Citations]
  

• E. Gaussier, J.-M. Renders, I. Matveeva, C. Goutte, H.Déjean (2004) A Geometric view on bilingual lexicon extraction from comparable corpora, Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), pp. 527-534. [Citations]
  

• C. Goutte, P.B. Dobrokhotov, E. Gaussier, A.-L. Veuthey (2004) Corpus-Based vs. Model-Based Selection of Relevant Features, Proc. COnférence en Recherche d'Information et Applications (CORIA'2004), pp. 75-88.

• C. Goutte, E. Gaussier, N. Cancedda, H.Déjean (2004) Generative vs Discriminative Approaches to Entity Recognition from Label-Deficient Data, in G. Purnelle, C. Fairon and A. Dister (eds), Le poids des mots - Actes des 7èmes Journées internationales d'Analyse statistique des Données Textuelles (JADT04), pp. 515-523. Presses Universitaires de Louvain.

• P.B. Dobrokhotov, C. Goutte, A.-L. Veuthey, E. Gaussier (2004) Assisting medical annotation in Swiss-Prot using statistical classifiers, International Journal of Medical Informatics, 74(2{4):317-324.

2003

• H. Déjean, E. Gaussier, C. Goutte and K. Yamada (2003) Reducing parameter space for word alignment, NAACL/HLT Workshop: Building and Using Parallel Texts. [Citations]
  

• P.B. Dobrokhotov, C. Goutte, A.-L. Veuthey and E. Gaussier (2003) Combining NLP and Probabilistic Categorisation for Document and Term Selection for Swiss-Prot Medical Annotation, Proceedings of the 11th International Conference on Intelligent Systems for Molecular Biology (ISMB 2003), BioInformatic 19(Suppl 1):I91-I94. [Citations]
  

• P.B. Dobrokhotov, C. Goutte, A.-L. Veuthey and E. Gaussier (2003) A Probabilistic Information Retrieval Approach to Medical Annotation in Swiss-Prot, Proceedings of Medical Informatics Europe (MIE2003), In R. Baud, M. Fieschi, P. Le Beux and P. Ruch (eds) The New Navigators: from Professionals to Patients, Studies in Health Technology and Informatics, 95:421-426.

• N. Cancedda, E. Gaussier, C. Goutte and J.M. Renders (2003) Word-Sequence Kernels, Journal of Machine Learning Research 3:1059-1082. [Citations]
  

• C. Goutte, P. Dobrokhotov, E. Gaussier and A.-L. Veuthey (2003) Catégorisation de documents PubMed pour l'annotation médicale dans Swiss-Prot, Actes de l'atelier "Fouille de données et recherche d'information dans les bases de données multimedia semi-structurées", conférence EGC 2003.
  

2002

• Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Y. Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile (2002) Kernel Methods for Document Filtering, NIST Special Publication 500-XXX: The Eleventh Text Retrieval Conference (TREC 2002). [Citations]
  

• Cyril Goutte, Hervé Déjean, Eric Gaussier, Nicola Cancedda and Jean-Michel Renders (2002) Combining labelled and unlabelled data: a case study on Fisher kernels and transductive inference for biological entity recognition, Proceedings of the Sixth Conference on Natural Language Learning (CoNLL-02). http://ilk.kub.nl/~signll/conll02/cfp.html

• Eric Gaussier, Cyril Goutte, Kris Popat and Francine Chen (2002) A hierarchical model for clustering and categorising documents, in F. Crestani, M. Girolami and C.J. van Rijsbergen (eds), Advances in Information Retrieval_Proceedings of the 24th BCS-IRSG European Colloquium on IR Research (ECIR'02), Lecture Notes in Computer Science 2291, Springer, pp. 229-247. [Citations]
  

• Eric Gaussier and Cyril Goutte (2002) Probabilistic Models for Hierarchical Clustering and Categorisation: Applications in the Information Society, Proceedings of the International Conference on Advances in Infrastructures for e-Business, e-Education, e-Science and e-Medicine on the Internet (SSGRR2002w).

2001

• C. Goutte, L.K. Hansen, M.G. Liptrot and E. Rostrup (2001) Feature space clustering for fMRI meta-analysis, Human Brain Mapping, 13(3):165-183. [Citations]
  

• C. Goutte (2001) Sélection de paramètres par pénalisation L1, Revue d'Intelligence Artificielle, 15(3-4):333-350.
  

2000

• C. Goutte, F.A. Nielsen and L.K. Hansen (2000) Modelling the haemodynamic response in fMRI with smooth FIR filters, IEEE Transactions on Medical Imaging, 19(12):1188-1201. [Citations]
  

• C. Goutte and J. Larsen (2000) Adaptive metric kernel regression, The Journal of VLSI Signal Processing Systems, 26(1/2):155-167.

• C. Goutte (2000) Extraction of the relevant delays in temporal modelling, IEEE Transactions on Signal Processing, 48(6):1787-1795.

1999

• Jan Larsen and Cyril Goutte (1999) On optimal data split for generalization estimation and model selection, in S.-Y. Kung, J. Larsen, E. Wilson and S. Douglas (eds), Neural Networks for Signal Processing IX - Proceedings of the 1999 IEEE Workshop, pp. 225-234, IEEE (Piscataway, NJ). [Citations]
  

• Cyril Goutte, Peter Toft, Egil Rostrup, Finn Aarup Nielsen and Lars Kai Hansen (1999) On clustering fMRI time series, NeuroImage, 9(3):298-310. [Citations]
  

1998

• C. Goutte and J. Larsen (1998) Optimal Cross-Validation Split Ratio: Experimental Investigation, in L. Niklasson, M. Bodn and T. Ziemke (eds), Proceedings of the 8th International Conference on Artificial Neural Networks (Skvde), pp. 681-686, Perspectives in Neural Computing, Springer Verlag (Berlin).

• C. Goutte and J. Larsen (1998) Adaptive metric kernel regression, in T. Constantinides, S.-Y. Kung, M. Niranjan and E. Wilson (eds), Neural Networks for Signal Processing VIII - Proceedings of the 1998 IEEE Workshop (Cambridge), pp. 184-193, IEEE (Piscataway, NJ).

• C. Goutte and J. Larsen (1998) Adaptive Regularization of Neural Networks Using Conjugate Gradient, in Proceedings of the 1998 Intl. Conference on Acoustics, Speech and Signal Processing - ICASSP'98 (Seattle), vol. 2, pp. 1205-1208, IEEE (Piscataway, NJ).

• C. Goutte (1998) Behaviour in 0 of the neural networks training cost, Neural Processing Letters, 8(2):107-116.
  

1997

• Cyril Goutte and Lars Kai Hansen (1997) Regularization with a pruning prior, Neural Networks, 10(6):1053-1059. [Citations]
  

• Cyril Goutte (1997) Note on free lunches and cross-validation, Neural Computation, 9(6):1211-1215. [Citations]
  

• Cyril Goutte (1997) Extracting the relevant delays in time series modelling, in J. Principe, L. Gile, N. Morgan and E. Wilson (eds.) Neural Networks for Signal Processing VII - Proceedings of the 1997 IEEE Workshop (Florida), pp. 92-101, IEEE (Piscataway, NJ). [Citations]
  

• Cyril Goutte (1997) Lag space estimation in time series modelling, in Proceedings of the 1997 Intl. Conference on Acoustics, Speech, and Signal Processing - ICASSP 97 (Munich), vol. 4, pp. 3313-3316, IEEE (Piscataway, NJ). [Citations]
  

1996