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I'm looking at the history of NLP (and by extension, machine learning) and starting in the 1950s with the Georgetown–IBM experiment.

Are there any particular studies nor projects done with Natural Language Processing in the last 5 years ,for instance;breakthroughs in parsing, sentiment analysis, discourse analysis and speech recognition,that you guys think are specifically influential

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  • $\begingroup$ Just check out the MIT Computer Science & Artificial Intelligence Projects csail.mit.edu/research $\endgroup$ – quintumnia Apr 6 '17 at 10:40
  • $\begingroup$ You should really spell out the acronym the first time you mention it. I assumed this was Natural Language Processing, but google search returned Neuro-Linguistic Programming as the first several pages of results. $\endgroup$ – DukeZhou Apr 6 '17 at 17:46
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I suggest you take a look at the syllabus of http://cs224d.stanford.edu/syllabus.html and see what was invented in the last ~20 years. They focus on deep learning methods, and they include there almost everything important.

Among the things, which I would include into the review are:

  • Word2Vec models
  • Seq2Seq models

Concerning what happened in the last 5 years, i.e. since 2013, I suggest you mentioning super human performance on the SQuAD 1.1 dataset: https://rajpurkar.github.io/SQuAD-explorer/

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