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An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases
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In: Diagnostics; Volume 12; Issue 4; Pages: 836 (2022)
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A Comparative Review on Applications of Different Sensors for Sign Language Recognition
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In: Journal of Imaging; Volume 8; Issue 4; Pages: 98 (2022)
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Analysing the Sentiment of Air-Traveller: A Comparative Analysis ...
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Analysing the Sentiment of Air-Traveller: A Comparative Analysis ...
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Neural-based Knowledge Transfer in Natural Language Processing
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Automatic sentence simplification using controllable and unsupervised methods ; Simplification automatique de phrases à l'aide de méthodes contrôlables et non supervisées
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In: https://tel.archives-ouvertes.fr/tel-03543971 ; Computation and Language [cs.CL]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS265⟩ (2021)
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A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction
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In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287681 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.635-645, ⟨10.1007/978-3-030-79150-6_50⟩ (2021)
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Unsupervised Learning of Intuitive Physics from Videos ; Apprentissage non-supervisé de la physique intuitive
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In: https://hal.archives-ouvertes.fr/tel-03530321 ; Artificial Intelligence [cs.AI]. Ecole Normale Superieure de Paris - ENS Paris, 2021. English (2021)
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| 9 |
Textbrytning av mäklartexter och slutpris : Med BERT, OLS och Elman regressionsnätverk ; Text mining of broker texts and sold price : Using BERT, OLS and Elman regression network
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| 10 |
Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups
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In: Diagnostics; Volume 11; Issue 11; Pages: 1934 (2021)
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| 11 |
Discovering structure in speech recordings: Unsupervised learning of word and phoneme like units for automatic speech recognition
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In: Fraunhofer IAIS (2021)
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| 12 |
Going beyond our means: A proposal for improving psycholinguistic methods
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| 13 |
Unsupervised Deep Learning for Fake Content Detection in Social Media
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| 14 |
A cascaded unsupervised model for PoS tagging
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In: 20 ; 1 (2021)
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A study on the impact of neural architectures for Unsupervised Machine Translation
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Abstract:
[ES] La cuestión del uso de corpus monolingües para el entrenamiento de sistemas de traducción automática no supervisados es un asunto de notable relevancia en este mundo en continua globalización en que vivimos, debido principalmente a la escasez de corpus bilingües para la gran mayoría de pares de idiomas y a las limitaciones que esto presenta para el entrenamiento de sistemas de traducción automática. Este TFM parte de los sistemas de traducción neuronal no supervisada creados por Artetxe et al. llamados Undreamt y Monoses, y aspira a explorar el uso de diversas arquitecturas neuronales cercanas al actual estado de la cuestión en el marco de dicho sistemas. Se utilizarán para ello diversos de los corpus monolingües provenientes de la tarea de traducción WMT 2014, midiendo la calidad de las traducciones obtenidas mediante la métrica BLEU y buscando las mejores configuraciones para diversos pares de idiomas, comparándolas tanto como con el estado de la cuestión como con las métricas reportadas por Artetxe et al. ; [EN] The use of monolingual corpora for training Unsupervised Machine Translation systems is a matter of notorious relevance in this wold in continuous globalization we live in, mainly due to the scarcity of bilingual corpora for the great majority of language pairs and the serious limitation this represents for the training of Machine Translation systems. This TFM takes as a starting point the unsupervised Neural Machine Translation systems created by Artetxe et al., named Undreamt and Monoses, and aims to explore, within the frame of said systems, the use of neural architectures that stand close to the current state of the art. To do that the corpora used will be monolingual corpora from the WMT 2014 translation task, measuring the quality of the translations achieved using the BLEU metric and looking for the best configurations for various language pairs, comparing these both with the state of the art and with the metrics reported by Artetxe et al. ; Sanz Rodríguez, A. (2021). A study on the impact of neural architectures for Unsupervised Machine Translation. Universitat Politècnica de València. http://hdl.handle.net/10251/174572 ; TFGM
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Keyword:
Aprendizaje No Supervisado; Gated Recurrent Units (GRU); LENGUAJES Y SISTEMAS INFORMATICOS; Long Short-Term Memory units (LSTM); Máster Universitario en Inteligencia Artificial; Neural Machine Translation; Reconocimiento de Formas e Imagen Digital-Màster Universitari en Intel·Ligència Artificial: Reconeixement de Formes i Imatge Digital; Traducción Automática Neuronal; Transformer; Unidades de memoria a corto plazo; Unidades recurrentes cerradas; Unsupervised Learning
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URL: http://hdl.handle.net/10251/174572
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| 16 |
Strong Learning of Probabilistic Tree Adjoining Grammars
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In: Proceedings of the Society for Computation in Linguistics (2021)
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| 17 |
Consistent unsupervised estimators for anchored PCFGs
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In: Proceedings of the Society for Computation in Linguistics (2021)
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| 18 |
Unsupervised Structural Graph Node Representation Learning
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In: Boise State University Theses and Dissertations (2020)
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| 19 |
A Model of Unsupervised Formal Learning for Natural Language
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| 20 |
Towards unsupervised learning of speech features in the wild
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In: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020)
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