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An Upgrade to SyntaxNet, New Models and a Parsing Competition

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Re: An Upgrade to SyntaxNet, New Models and a Parsing Competition

#91

I've been fighting Tensorflow in the last couple of days to try an application on it, never before have I seen such a convoluted build process and a maze of dependencies. The best manual on getting tensorflow with CUDA support up and running is here: http://www.nvidia.com/object/gpu-accelerated-applications-te... But it is a little bit out of date when it comes to version numbers. If you're going to try TensorBox ( h…

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Re: An Upgrade to SyntaxNet, New Models and a Parsing Competition

#92
post #2

Very interesting release. The bit about guessing the part of speech, stem, etc. for previously unseen words should (I think) make it much more useful in contexts that succumb to neologizing, verbing nouns, nouning verbs, and so on (such as business writing, technical writing, academic papers, science fiction & fantasy, slang, etc.). I wonder how well it would do at parsing something that seems deliberately impenetrab…

It's much more useful in all contexts - every problem/task has a 100 words that are very common and important there while being rare and unknown in general; the problem is that for every niche that's different 100 terms.

Right, except in terms of neologizing I was referring to contexts where many individual texts are trying to establish a new term. So if you are trying to parse Science Fiction texts, yes there are "terms of art" that don't appear outside of that field (eg. "blaster"), but often there are terms that don't appear anywhere else, not even in other works by the same author.

Other pathological cases are business books trying to coin a term or twist existing words into new meanings (eg. "cloud"), verbing nouns (incentivize), nouning verbs (likes, learnings), and so on.

Re: An Upgrade to SyntaxNet, New Models and a Parsing Competition

#93
post #43

For those of us who aren't developers but maybe more aptly called "hackers" (cause we hack stuff together even though we're operating out of our league, sometimes we get stuff to work). I am wondering, is there a even higher level guide to using Tensor Flow. I am currently growing Sweet Peas in my office in enclosed containers that automanage environment, nutrition and water. I have the capaability to log a lot of da…

I agree with the previous post that you should focus on Keras rather than Tensorflow. Understanding Tensorflow is a great skill to have because you get a more appreciative and deeper understanding of the models when you dig deeper. But for most application, especially for a fun side project, Keras should be perfect. I recommend http://course.fast.ai/ to learn more about the applications of neural networks and how to…

Thanks.
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