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6 papers · 2 filters
Grammar as a Foreign Language
Oriol Vinyals, Lukasz Kaiser, Terry Koo +3
Syntactic constituency parsing is a fundamental problem in natural language processing and has been the subject of intensive research and engineering for decades. As a result, the…
Extraction of Salient Sentences from Labelled Documents
Misha Denil, Alban Demiraj, Nando de Freitas
We present a hierarchical convolutional document model with an architecture designed to support introspection of the document structure. Using this model, we show how to use visual…
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Grégoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato +1
Sentiment analysis is a common task in natural language processing that aims to detect polarity of a text document (typically a consumer review). In the simplest settings, we discr…
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets a…
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
Many machine learning algorithms require the input to be represented as a fixed-length feature vector. When it comes to texts, one of the most common fixed-length features is bag-o…
Open Question Answering with Weakly Supervised Embedding Models
Antoine Bordes, Jason Weston, Nicolas Usunier
Building computers able to answer questions on any subject is a long standing goal of artificial intelligence. Promising progress has recently been achieved by methods that learn t…