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Comment by culopatin | Hacker News Reader

I’m very ignorant when it comes to AI but I’d like to have a machine watch me select some sub strings out of different sequences of text and have it find what is the pattern behind all the choices I make. Is there something like that I can train?

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That sounds a bit like the SQuAD 2.0 challenge, but simpler.

In SQuAD 2.0 a model is given a question, and a passage of information. It has to select the start and end points of where the answer is contained in the passage.

Your problem is simpler in that there is no question - you just have to have a model that can identify the start and end positions that _you_ will select.

Would it work if the text is not words? It’s just a string of chars

Sounds like excel flash fill might be similar to what you’re interested in. It’s a well documented feature described in papers and talks, it comes from a pretty cool group in MS research.

My data is a 600 char string of letters and following some very loose rules you slice 7-10 substrings of the string. The string is an RNA sequence and the substrings vary depending on the genus/species/etc. I know loosely how far down the string each might be, but it’s not perfect and it varies. I definitely know in what order they are, so that helps. Right now I have a script that works 90% of the time, but I’d love to make it learn from the data it reads so it can guess the other 10% or be ready for new discoveries. So I’m not sure how flash fill would work in this scenario.

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