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by honnibal on 2018-09-14 (UTC).

Sure thing! You might skim this: https://t.co/nFI8DsHAIK . Now I just have a NN predicting the actions, instead of an averaged perceptron.
It's sort of like reinforcement learning. To predict the next state, we need the current state to make the features.

— Matthew Honnibal (@honnibal) September 14, 2018
research
by honnibal on 2018-09-14 (UTC).

You might've missed it because Twitter sucks, but the LSUV variant often does very well for the parser: https://t.co/OsuN6Gk2Rg
Honestly parsing, tagging, NER etc are not great value topics to dabble in. They're pretty fiddly, and hard to publish on.

— Matthew Honnibal (@honnibal) September 14, 2018
research
by honnibal on 2018-09-14 (UTC).

Ah, alas :p. This might be a fun thing to play with: https://t.co/INR7uBe52T
The big thing in NLP at the moment is language modelling, e.g. https://t.co/OWknRzGvXC
This is my NN-for-NLP 101: https://t.co/lU8HEK3YZI

— Matthew Honnibal (@honnibal) September 14, 2018
research

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