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81
Neural-based Knowledge Transfer in Natural Language Processing
Wang, Chao. - 2022
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82
Temporal Emotion Dynamics in Social Networks
Naskar, Debashis. - : Universitat Politècnica de València, 2022
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83
Investigating alignment interpretability for low-resource NMT
In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021)
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84
The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment
In: ISSN: 2076-3263 ; Geosciences ; https://hal.archives-ouvertes.fr/hal-03168500 ; Geosciences, MDPI, 2021, ⟨10.3390/geosciences11030133⟩ (2021)
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85
End-to-end speaker segmentation for overlap-aware resegmentation
In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021)
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86
High-resolution speaker counting in reverberant rooms using CRNN with Ambisonics features
In: EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-03537323 ; EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.71-75, ⟨10.23919/Eusipco47968.2020.9287637⟩ (2021)
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87
Tackling Morphological Analogies Using Deep Learning -- Extended Version
In: https://hal.inria.fr/hal-03425776 ; 2021 (2021)
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88
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
In: Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03372802 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.3865-3869, ⟨10.21437/Interspeech.2021-275⟩ (2021)
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89
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
Abstract: International audience ; Some human cognitive tasks may involve tightly interleaved logical and numerical computations. On the one hand, ontologies allow us to describe symbolic structured knowledge and perform logical inference, providing a rather natural representation of human reasoning as modeled in cognitive psychology. On the other hand, spiking neural networks are a biologically plausible implementation of processing in brain circuits, yet they process numeric vectors rather than symbolic data. Unifying these symbolic and sub-symbolic approaches is still a wide and open question, and the Semantic Pointer Architecture (SPA) based on the Vector Symbolic Architecture (VSA) provides a way to manipulate symbols embedded as numeric vectors that carry semantic information. In this paper, as a step towards filling the symbolic/numerical gap, we propose to map an ontology onto a SPA-based architecture with a preliminary partial implementation into spiking neural networks. More specifically, we focus on ontology standards used in the semantic web such as Resource Description Framework [Schema] (RDF[S]) and the Web Ontology Language (OWL). We provide a detailed implementation example in the case of specific RDFS entailments based on predicate chaining. To that end, we used the neural simulator Nengo with two associative memories in interaction, the first one storing assertions and the second one storing entailment rules. Reporting interesting formal results, our embedding enjoys intrinsic properties allowing semantic reasoning through distributed numerical computing. This original preliminary work thus combines symbolic and numerical approaches for cognitive modeling, which might be useful to model some complex human tasks such as ill-defined problem-solving, involving neuronal knowledge manipulation.
Keyword: [INFO]Computer Science [cs]; [SCCO]Cognitive science; Neural Engineering Framework; Neurosymbolism; Ontology; Resource Description Framework; Semantic Pointer Architecture; Vector Symbolic Architecture
URL: https://hal.inria.fr/hal-03360307
https://hal.inria.fr/hal-03360307/file/AIDE_KRHCAI_2021.pdf
https://hal.inria.fr/hal-03360307/document
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90
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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91
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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92
Speaker Attentive Speech Emotion Recognition
In: Proccedings of interspeech 2021 ; Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03554368 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.2866-2870, ⟨10.21437/interspeech.2021-573⟩ (2021)
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93
Recognition of Grammatical Class of Imagined Words from EEG Signals using Convolutional Neural Network
Datta, S; Boulgouris, NV. - : Elsevier BV, 2021
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94
Deep Learning Methods for Human Behavior Recognition
Lu, Jia. - : Auckland University of Technology, 2021
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95
Brain-Inspired Audio-Visual Information Processing Using Spiking Neural Networks
Wendt, Anne. - : Auckland University of Technology, 2021
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96
Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021)
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97
Developmental changes in neural letter‐selectivity: A 1‐year follow‐up of beginning readers
In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-02931200 ; Developmental Science, Wiley, 2021, 21 (1), pp.e12999. ⟨10.1111/desc.12999⟩ (2021)
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98
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.sorbonne-universite.fr/hal-03290774 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2288-2292, ⟨10.1145/3404835.3463098⟩ (2021)
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99
Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks
In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021)
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100
What does the Canary Say? Low-Dimensional GAN Applied to Birdsong
In: https://hal.inria.fr/hal-03244723 ; 2021 (2021)
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