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Thanks for the lectures, I'll look through it, I've started to watch their lecture form Jurafsky and Manning that is available on yt. Currently It's mostly abo

• gtani 10y ago
  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/1702.01923 https://arxiv.org/abs/1611.09100 https://arxiv.org/abs/1611.09100 https://metamind.io/research/learning-when-to-skim-and-when-to-read https://metamind.io/research/learning-when-to-skim-and-when-... https://arxiv.org/abs/1611.06792 https://arxiv.org/abs/1611.06792 https://arxiv.org/abs/1611.03305 https://arxiv.org/abs/1611.03305 probably if you search arxiv and the ACL anthology you should find good lit searches/historical summaries: http://aclweb.org/anthology/ http://aclweb.org/anthology/ Karpathy's arxiv sanity preserver is a big help. You can put together a list of maybe a few dozen twitter accounts and hashtags to watch, that'll keep you pretty current.