Jean-Michel Renders


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LSTM-Based Mixture-of-Experts for Knowledge-Aware Dialogues
Phong Le | Marc Dymetman | Jean-Michel Renders
Proceedings of the 1st Workshop on Representation Learning for NLP


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Task-Driven Linguistic Analysis based on an Underspecified Features Representation
Stasinos Konstantopoulos | Valia Kordoni | Nicola Cancedda | Vangelis Karkaletsis | Dietrich Klakow | Jean-Michel Renders
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper we explore a task-driven approach to interfacing NLP components, where language processing is guided by the end-task that each application requires. The core idea is to generalize feature values into feature value distributions, representing under-specified feature values, and to fit linguistic pipelines with a back-channel of specification requests through which subsequent components can declare to preceding ones the importance of narrowing the value distribution of particular features that are critical for the current task.


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A Voice Enabled Procedure Browser for the International Space Station
Manny Rayner | Beth A. Hockey | Nikos Chatzichrisafis | Kim Farrell | Jean-Michel Renders
Proceedings of the ACL Interactive Poster and Demonstration Sessions


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Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
Cyril Goutte | Hervé Déjean | Eric Gaussier | Nicola Cancedda | Jean-Michel Renders
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)