[microtonal]

Often overlooked by people who only know what I call "drive-by machine learning" (finished an online ML course or something).

A bit sour, are we? ;)

The point is that it is an NLP task where it is relatively easy to get good results on general text (see Cavnar and Trenkle). So, it is a fun and satisfying exercise.

Saying there is difficult noisy data is pointing out the obvious ;).

[Radim]

If it's obvious to you, then you're not the target audience of my disclaimer :)

But HN responses to posts like these overwhelmingly suggest it's far from obvious.

  So, it is a fun and satisfying exercise.

I agree. Perhaps you can help evangelize the world of difference between "fun exercise" and a production-ready system (the OP is a paid service).

[microtonal]

I agree. Perhaps you can help evangelize the world of difference between "fun exercise" and a production-ready system (the OP is a paid service).

I used to be a bit upset when someone claims to have implemented a state-of-the-art POS tagger, when they just took the dictionary and rules produced by Eric Brill's learner verbatim and apply those. Or worse, they take the first ten rules ;).

Nowadays I just prefer to evolution let do its work. The best or the one with the best marketing wins :).

[Radim]

Liberating approach Daniel!

I'm still in the naive do-it-well phase, but seeing the downvotes, it may be time to join the hipsters. Or at least shut up ;)