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1
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ...
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2
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading ...
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3
Neural Network Learning for Robust Speech Recognition
Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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4
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives ...
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5
Conversational Language Learning for Human-Robot Interaction
Bothe, Chandrakant Ramesh. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
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6
Crossmodal Language Grounding in an Embodied Neurocognitive Model
In: Front Neurorobot (2020)
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7
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis ...
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8
Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots ...
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9
GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection ...
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10
Syntactic Reanalysis in Language Models for Speech Recognition
In: 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) ; https://hal.inria.fr/hal-01558462 ; 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2017, Lisbon, Portugal ; http://icdl-epirob.org/ (2017)
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11
Interactive Natural Language Acquisition in a Multi-modal Recurrent Neural Architecture ...
Heinrich, Stefan; Wermter, Stefan. - : arXiv, 2017
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12
Recurrent Neural Network for Syntax Learning with Flexible Predicates for Robotic Architectures
In: The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB) ; https://hal.inria.fr/hal-01417697 ; The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy, France ; http://icdl-epirob.org/ (2016)
Abstract: International audience ; We present a Recurrent Neural Network (RNN), namely an Echo State Network (ESN), that performs sentence comprehension and can be used for Human-Robot Interaction (HRI). The RNN is trained to map sentence structures to meanings (i.e. predicates). We have previously shown that this ESN is able to generalize to unknown sentence structures. Moreover, it is able to learn English, French or both at the same time. The are two novelties presented here: (1) the encapsulation of this RNN in a ROS module enables one to use it in a robotic architecture like the Nao humanoid robot, and (2) the flexibility of the predicates it can learn to produce (e.g. extracting adjectives) enables one to use the model to explore language acquisition in a developmental approach.
Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [SCCO.LING]Cognitive science/Linguistics; echo state networks; human-robot interaction; language acquisition; recurrent neural network; reservoir computing; thematic role assignment
URL: https://hal.inria.fr/hal-01417697/file/icdl_epirob_2016_submission_39_camera_ready.pdf
https://hal.inria.fr/hal-01417697/document
https://hal.inria.fr/hal-01417697
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13
Semantic Role Labelling for Robot Instructions using Echo State Networks
In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) ; https://hal.inria.fr/hal-01417701 ; European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium ; https://www.elen.ucl.ac.be/esann/index.php?pg=esann16_programme (2016)
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14
Using Natural Language Feedback in a Neuro-inspired Integrated Multimodal Robotic Architecture
In: 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) ; https://hal.inria.fr/hal-01417706 ; 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Aug 2016, New York City, United States. pp.52 - 57, ⟨10.1109/ROMAN.2016.7745090⟩ ; http://www.tc.columbia.edu/conferences/roman2016/ (2016)
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15
Natural language acquisition in recurrent neural architectures ; Erwerb von natürlicher Sprache in rekurrenten neuronalen Architekturen
Heinrich, Stefan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2016
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16
A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French
In: Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo 2015) ; https://hal.inria.fr/hal-02561258 ; Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo 2015), Dec 2015, Montreal, Canada ; http://ceur-ws.org/Vol-1583/ (2015)
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17
Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives
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18
Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives
Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan. - : Frontiers Media S.A., 2014
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19
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 18 (2006) 1, 1-22
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20
A modular approach to self-organization of robot control based on language instruction
In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 15 (2003) 2-3, 73-94
BLLDB
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