Word2vec

Results: 35



#Item
21Artificial intelligence / Learning / Machine learning / Artificial neural networks / Dynamic programming / Dynamic time warping / Time series analysis / Computational neuroscience / Deep learning / Speech recognition / Word2vec / Sequence alignment

PRUNING SUBSEQUENCE SEARCH WITH ATTENTION-BASED EMBEDDING Colin Raffel and Daniel P. W. Ellis LabROSA Columbia University New York, NY ABSTRACT

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Source URL: colinraffel.com

Language: English - Date: 2015-12-30 23:12:50
22Artificial neural networks / Artificial intelligence / Computing / Computational neuroscience / Cybernetics / Machine learning / Word2vec / Word embedding / Automatic image annotation / Convolutional neural network / Annotation / Attribute

Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele arXiv:1603.08754v1 [cs.CV] 29 MarMax-Planck Institute for Informatics

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Source URL: arxiv.org

Language: English - Date: 2016-03-29 20:29:24
23Statistics / Statistical natural language processing / Machine learning / Probability / Latent Dirichlet allocation / Topic model / Latent semantic analysis / Word2vec / Semantic similarity / Vector space model / Word embedding / Gibbs sampling

Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

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Source URL: manzil.ml

Language: English - Date: 2016-01-03 02:26:26
24Artificial neural networks / Artificial intelligence / Learning / Machine learning / Computational linguistics / Computational neuroscience / Language modeling / Word2vec / Word embedding / Deep learning / Softmax function / Language model

Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Google Inc. Mountain View

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Source URL: papers.nips.cc

Language: English - Date: 2014-11-25 16:07:00
25Computational linguistics / Natural language processing / Machine learning / Artificial neural networks / Deep learning / Word2vec / Question answering / Textual entailment / Outline of natural language processing / Word embedding

Deep Learning and Structural Kernels for Semantic Inference: Question Answering Applications to Formal Text and Web Forums

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Source URL: www.dialog-21.ru

Language: English - Date: 2016-05-25 06:25:56
26Machine learning / Artificial intelligence / Artificial neural networks / Learning / Academia / Natural language processing / Language modeling / Computational linguistics / Word embedding / Word2vec / Feature learning / Vector space model

Distributed Representations of Sentences and Documents Quoc Le Tomas Mikolov Google Inc, 1600 Amphitheatre Parkway, Mountain View, CA 94043

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Source URL: cs.stanford.edu

Language: English - Date: 2014-05-22 19:24:47
27Semantics / Computational linguistics / Linguistics / Cognition / Applied mathematics / Machine learning / Semantic similarity / Statistical distance / Artificial neural networks / Word2vec / Analogy / Distributional semantics

Supplementary Materials: Learning Word Representations with Hierarchical Sparse Coding Dani Yogatama DYOGATAMA @ CS . CMU . EDU Manaal Faruqui

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Source URL: jmlr.org

Language: English - Date: 2015-09-16 19:38:50
28Artificial neural networks / Machine learning / Computing / Artificial intelligence / Word2vec / Software / Hadoop / Natural language processing / Cosine similarity / Hortonworks

NLP Structured Data Investigation on Non-Text Casey Stella Spring, 2015

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Source URL: events.linuxfoundation.org

Language: English - Date: 2015-09-20 22:36:12
29Computing / Information science / Artificial neural networks / Information / Collective intelligence / Computer jargon / Knowledge representation / Web 2.0 / Word embedding / Word2vec / Deep learning / Hashtag

#TAG S PACE: Semantic Embeddings from Hashtags Jason Weston Facebook AI Research Sumit Chopra

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Source URL: www.thespermwhale.com

Language: English - Date: 2014-09-02 19:51:42
30Linguistics / Computational linguistics / Applied linguistics / Natural language processing / Artificial neural networks / Language modeling / Statistical natural language processing / Word2vec / Word embedding / Machine translation / Word-sense disambiguation / Statistical machine translation

Exploiting Similarities among Languages for Machine Translation arXiv:1309.4168v1 [cs.CL] 17 Sep 2013 Tomas Mikolov Google Inc.

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Source URL: arxiv.org

Language: English - Date: 2013-09-17 20:18:52
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