Learning to Compose Words into Sentences with Reinforcement Learning — mentioned by gtani

Sun, 02 Apr 2017 23:07:40 GMT

Things like topic recognition, entity and reference linking/disambiguation, synonym/paraphase are well researched tasks with purpose-made datasets for competitions like TREC. The most common approaches will be to choose a word embedding (one of the word2vec or Glove are good starts) and run that into a CNN or RNN variant: https://arxiv.org/abs/1702.01923 https://arxiv.org/abs/1611.09100 https://metamind.io/research/learning-when-to-skim-and-when-... https://arxiv.org/abs/1611.06792 https://arxiv.org/abs/1611.03305 probably if you search arxiv and the ACL anthology you should find good lit…

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Learning to Compose Words into Sentences with Reinforcement Learning · HackerPapers discussions

Learning to Compose Words into Sentences with Reinforcement Learning — mentioned by gtani