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Št. zadetkov: 6
Video in druga učna gradiva
Oznake: computer science;natural language processing
We propose a new fast purely discriminative algorithm for natural language parsing, based on a "deep" recurrent convolutional graph transformer network (GTN). Assuming a decomposition of a parse tree into a stack of "levels", the network predicts a level of the tree taking into account predictions o ...
Leto: 2011 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;neural networks
We describe a single convolutional neural network architecture that given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity tags, semantic roles, semantically similar words and the likelihood that the sentence makes sense (grammatically and sema ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled video recordings. That is, two successive frames are likely to contain the same object or objects. This coherence is used ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;programming languages;algorithms and data structures
Torch provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and very efficient, thanks to a simple-yet-powerful fast scripting language (Lua), and a underlying C/C++ implementation. Torch is easily extensible and has been shown to scale to very large ap ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;natural language processing
This tutorial will describe recent advances in deep learning techniques for Natural Language Processing (NLP). Traditional NLP approaches favour shallow systems, possibly cascaded, with adequate hand-crafted features. In constrast, we are interested in end-to-end architectures: these systems include ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 6
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