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Comment by mark_l_watson | Hacker News Reader

I think you might be pleasantly surprised by recent results using DL and LSTM for building models of natural language. The next advancement I would like to see is handling anaphora resolution (resolving pronouns to previous noun phrases in text, resolving words like 'there' to a place mentioned elsewhere in text, etc.) Progress has been so rapid that I bet I don't have to wait long.

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Have you seen the results from Dynamic Memory Networks? [0]

The relevant example from the paper:

  I: Jane went to the hallway.
  I: Mary walked to the bathroom.
  I: Sandra went to the garden.
  I: Daniel went back to the garden.
  I: Sandra took the milk there.
  Q: Where is the milk?
  A: garden

Obviously just a toy task, but as you said, progress is rapid!

[0]: http://arxiv.org/abs/1506.07285

Thanks for the link!

> I think you might be pleasantly surprised by recent results using DL and LSTM for building models of natural language.

What exactly those models are modelling?

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