Sequence to sequence learning with neural networks Sutskever et al. NIPS, 2014 Yesterday we looked at paragraph vectors which extend the distributed word vectors approach to learn a distributed representation of a sentence, paragraph, or document. Today's paper tackles what must be one of the sternest tests of all when it comes to assessing how … Continue reading Sequence to sequence learning with neural networks
Month: June 2016
Distributed representations of sentences and documents
Distributed representations of sentences and documents - Le & Mikolov, ICML 2014 We've previously looked at the amazing power of word vectors to learn distributed representation of words that manage to embody meaning. In today's paper, Le and Mikolov extend that approach to also compute distributed representations for sentences, paragraphs, and even entire documents. They … Continue reading Distributed representations of sentences and documents
the morning paper 