61 |
Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments
|
|
|
|
In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888708 ; Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2364⟩ (2018)
|
|
BASE
|
|
Show details
|
|
62 |
Sampling strategies in Siamese Networks for unsupervised speech representation learning
|
|
|
|
In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888725 ; Interspeech 2018, Sep 2018, Hyderabad, India (2018)
|
|
BASE
|
|
Show details
|
|
63 |
Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists
|
|
|
|
BASE
|
|
Show details
|
|
64 |
Unsupervised Mining and Summarization of Polarized Contentious Issues from Online Text
|
|
Trabelsi, Amine. - : University of Alberta. Department of Computing Science., 2018
|
|
BASE
|
|
Show details
|
|
65 |
La contribución de los métodos de aprendizaje automático no supervisado al diseño de métodos para la clasificación textual según el grado de especialización
|
|
|
|
In: Sintagma 30, 131-149 (2018) (2018)
|
|
BASE
|
|
Show details
|
|
66 |
A Semantic Unsupervised Learning Approach to Word Sense Disambiguation
|
|
|
|
In: Doctoral Dissertations (2018)
|
|
BASE
|
|
Show details
|
|
67 |
La contribución de los métodos de aprendizaje automático no supervisado al diseño de métodos para la clasificación textual según el grado de especialización
|
|
|
|
BASE
|
|
Show details
|
|
68 |
Unsupervised Speech Unit Discovery Using K-means and Neural Networks
|
|
|
|
In: SLSP 2017: Statistical Language and Speech Processing ; 5th International Conference on Statistical Language and Speech Processing (SLSP 2017) ; https://hal.archives-ouvertes.fr/hal-02559766 ; 5th International Conference on Statistical Language and Speech Processing (SLSP 2017), Oct 2017, Le Mans, France. pp.169-180 (2017)
|
|
BASE
|
|
Show details
|
|
69 |
Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing
|
|
|
|
In: Keller, Thomas Anderson. (2017). Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing. UC San Diego: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/0wg0r7hn (2017)
|
|
BASE
|
|
Show details
|
|
71 |
Multilingual Bottle-Neck Feature Learning From Untranscribed Data For Track 1 In Zerospeech2017 (System 1 -- Without Vtln) ...
|
|
|
|
BASE
|
|
Show details
|
|
72 |
Multilingual Bottle-Neck Feature Learning From Untranscribed Data For Track 1 In Zerospeech2017 (System 1 -- Without Vtln) ...
|
|
|
|
BASE
|
|
Show details
|
|
73 |
Unsupervised neural and Bayesian models for zero-resource speech processing
|
|
|
|
BASE
|
|
Show details
|
|
74 |
Unsupervised learning of allomorphs in Turkish
|
|
|
|
In: 25 ; 4 ; 3253 ; 3260 (2017)
|
|
BASE
|
|
Show details
|
|
75 |
Modeling morpheme triplets with a three-level hierarchical Dirichlet process
|
|
|
|
In: 366 ; 369 (2017)
|
|
BASE
|
|
Show details
|
|
76 |
Computational Learning of Morphology
|
|
|
|
In: Annual Review of Linguistics, vol. 3, no. 1, pp. 85-106 (2017)
|
|
BASE
|
|
Show details
|
|
77 |
An unsupervised multilingual approach for online social media topic identification
|
|
|
|
BASE
|
|
Show details
|
|
78 |
Unsupervised learning of morphology in the USSR
|
|
|
|
In: Journées internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-01620908 ; Journées internationales d'Analyse statistique des Données Textuelles, Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette, Jun 2016, Nice, France (2016)
|
|
BASE
|
|
Show details
|
|
79 |
Sentiment detection in micro-blogs using unsupervised chunk extraction
|
|
|
|
In: Lingua Sinica ; https://hal.archives-ouvertes.fr/hal-01573567 ; Lingua Sinica, 2016, 2 (1), ⟨10.1186/s40655-015-0010-8⟩ ; https://link.springer.com/article/10.1186/s40655-015-0010-8 (2016)
|
|
BASE
|
|
Show details
|
|
80 |
A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level
|
|
|
|
BASE
|
|
Show details
|
|
|
|