Problem: computers do not understand text. However, they do understand images (or at least they understand images better than they understand text). So I'm trying to apply image understanding methods to text. p.s. I have no idea if this is going to work at all, but it's worth a shot!
I'm talking about text summarizing, or text recognition, similar to image recognition, which is done through identifying common patterns (features), in a hierarchical manner. For example, if you read an article, or a short story, you can then tell me what is it about. Computers can do this already for images, but not yet for text (there are attempts to do text summarizing, but they are pretty weak).
I didn't say I don't know how to do it - my post outlines the approach. I said I don't know if this is going to work. In machine learning, people often don't know how/why something works. Usually a lot of trial and error, and brute force search is involved before working parameters are found. It's similar to neuroscience - we know a lot about brain, but at the same time we don't "really" know how it works.
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p.s. I have no idea if this is going to work at all, but it's worth a shot!
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E.g. Google text search is way more efficient than Google Image search.
2) If you do not understand how this is going to work at all, then it probably does not worth a shot.
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I didn't say I don't know how to do it - my post outlines the approach. I said I don't know if this is going to work.
In machine learning, people often don't know how/why something works. Usually a lot of trial and error, and brute force search is involved before working parameters are found. It's similar to neuroscience - we know a lot about brain, but at the same time we don't "really" know how it works.
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