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Emerging linguistic universals in communicating neural network agents ; Les universaux linguistiques émergeant dans les réseaux de neurones communicants
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In: https://hal.inria.fr/tel-03536320 ; Cognitive science. Ecole doctorale cerveau-cognition comportement (ED3C), 2021. English (2021)
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Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
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In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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Abstract:
International audience ; Multi-view learning makes use of diverse models arising from multiple sources of input or different feature subsets for the same task. For example, a given natural language processing task can combine evidence from models arising from character, morpheme, lexical, or phrasal views. The most common strategy with multi-view learning, especially popular in the neural network community, is to unify multiple representations into one unified vector through concatenation, averaging, or pooling , and then build a single-view model on top of the unified representation. As an alternative, we examine whether building one model per view and then unifying the different models can lead to improvements, especially in low-resource scenarios. More specifically, taking inspiration from co-training methods, we propose a semi-supervised learning approach based on multi-view models through consensus promotion, and investigate whether this improves overall performance. To test the multi-view hypothesis, we use moderately low-resource scenarios for nine languages and test the performance of the joint model for part-of-speech tagging and dependency parsing. The proposed model shows significant improvements across the test cases, with average gains of −0.9 ∼ +9.3 labeled attachment score (LAS) points. We also investigate the effect of unlabeled data on the proposed model by varying the amount of training data and by using different domains of unlabeled data.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
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URL: https://hal.archives-ouvertes.fr/hal-02895835
https://hal.archives-ouvertes.fr/hal-02895835/document
https://hal.archives-ouvertes.fr/hal-02895835/file/Cometa_AAAI20.pdf
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Compositionality and Generalization in Emergent Languages
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In: ACL 2020 - 8th annual meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02959466 ; ACL 2020 - 8th annual meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020)
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Unsupervised pretraining transfers well across languages
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In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-02959418 ; ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona / Virtual, Spain. pp.7414-7418, ⟨10.1109/ICASSP40776.2020.9054548⟩ (2020)
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Semantic Flexibility and Grounded Language Learning
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In: Proceedings AISB 2019 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents ; https://hal.archives-ouvertes.fr/hal-02268932 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents, Apr 2019, Falmouth, United Kingdom (2019)
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Learning representations of speech from the raw waveform ; Apprentissage de représentations de la parole à partir du signal brut
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In: https://tel.archives-ouvertes.fr/tel-02278616 ; Machine Learning [cs.LG]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE004⟩ (2019)
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| 7 |
Anti-efficient encoding in emergent communication
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In: https://hal.archives-ouvertes.fr/hal-02274205 ; 2019 (2019)
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Word-order biases in deep-agent emergent communication
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In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02274157 ; ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy (2019)
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| 9 |
The Zero Resource Speech Challenge 2019: TTS without T
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In: Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02274112 ; Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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| 10 |
A Predictive Approach to Semantic Change Modelling
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In: Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02265227 ; Digital Humanities, Jul 2019, Utrecht, Netherlands (2019)
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| 11 |
SING: Symbol-to-Instrument Neural Generator
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In: Conference on Neural Information Processing Systems (NIPS) ; https://hal.archives-ouvertes.fr/hal-01899949 ; Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada (2018)
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| 12 |
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
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In: LREC 2018 Proceedings ; Language Resource and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01856178 ; Language Resource and Evaluation Conference, ELRA, May 2018, Miyazaki, Japan ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/600.pdf (2018)
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| 13 |
Dependency Parsing of Code-Switching Data with Cross-Lingual Feature Representations
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In: International Workshop on Computational Linguistics for Uralic Languages ; https://hal.archives-ouvertes.fr/hal-01722243 ; International Workshop on Computational Linguistics for Uralic Languages, Jan 2018, Helsinki, Finland. pp.1 - 17 ; aclweb.org/anthology/W18-0200 (2018)
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| 14 |
Classification par paires de mention pour la résolution des coréférences en français parlé interactif
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In: Conférence jointe CORIA-TALN-RJC 2018 ; https://hal.inria.fr/hal-01821213 ; Conférence jointe CORIA-TALN-RJC 2018, ATALA; ARIA, May 2018, Rennes, France ; https://project.inria.fr/coriataln2018 (2018)
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Modeling a label global context for sequence tagging in recurrent neural networks ; Modélisation d'un contexte global d'étiquettes pour l'étiquetage de séquences dans les réseaux neuronaux récurrents
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In: Journée commune AFIA-ATALA sur le Traitement Automatique des Langues et l’Intelligence Artificielle pendant la onzième édition de la plate-forme Intelligence Artificielle (PFIA 2018) ; https://hal.archives-ouvertes.fr/hal-02002111 ; Journée commune AFIA-ATALA sur le Traitement Automatique des Langues et l’Intelligence Artificielle pendant la onzième édition de la plate-forme Intelligence Artificielle (PFIA 2018), Jul 2018, Nancy, France ; https://pfia2018.loria.fr/journee-tal/ (2018)
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| 16 |
Language, Cognition, and Computational Models
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In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018)
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| 17 |
Introduction: Cognitive Issues in Natural Language Processing
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In: Language, Cognition, and Computational Models ; https://hal.archives-ouvertes.fr/hal-01722353 ; Language, Cognition, and Computational Models, Cambridge University Press, 2018, 9781316676974 ; https://doi.org/10.1017/9781316676974 (2018)
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| 18 |
UDLex: Towards Cross-language Subcategorization Lexicons
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In: Proceedings of the Fourth International Conference on Dependency Linguistics ; Fourth International Conference on Dependency Linguistics (Depling 2017) ; https://hal.archives-ouvertes.fr/hal-01856180 ; Fourth International Conference on Dependency Linguistics (Depling 2017), University of Pisa, Sep 2017, Pise, Italy (2017)
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| 19 |
Structured Named Entity Recognition by Cascading CRFs
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In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579109 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary (2017)
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| 20 |
Label-Dependencies Aware Recurrent Neural Networks
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In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579071 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017)
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