Is the interest in NLP generating new considerations of programming languages - I know R and Python are compared regularly, but does that debate differs R from Python, Python from R, or reveal new considerations for developers?
By throwing away common words such as "of" or "from", don't you sacrifice the ability to determine the relationship between identified entities? Seems liek this is part of the issue in understanding the "meaning" of NLP statements, such as the assistant example in your opening slide.
Hey, folks. If anyone had trouble hearing or seeing the slides, you can hear the whole presentation in our archive (same URL) after it ends. Note, the most common problem is when a listener doesn't activate Flash in Firefox.
I liked that he mentioned building a search engine - big highlight for businesses that provide an app with a great search capability. I think Evernote is great (some people don't) but much of the value comes from its ability to search in document and in notes. My feelings come from how it recognizes my voice in the app.
Seems like a smart guy. Too bad because it's interesting content but he's not a great presenter. I would suggest he start with "what do I want to communicate to the listener" and determine how he wants to take them on the journey. Thank you for the invitation.
If you follow the car reviews on CNET, you can see how the reviewer speaks about "buckets" when he is speaking into a navigation system. Dan's mentions on tokens and buckets gives a new view of those reviews.
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