[FIX] changed Config to RbConfig to provide ruby 2.2.0 compatibility

[PaulRenvoise]

No description provided.

[inukshuk]

Thanks! Are you using the gem? I have moved on to wapiti instead so I'm not really maintaining this anymore. Glad to push a release to Rubygems of course, but thought I'd let you know.

[PaulRenvoise]

I tried Wapiti already, i'm just seeking what's the differences between these two.
I read somewhere that it's more convenient to use gazetteers with CRF++, is that true ?
Thanks ! :)

[inukshuk]

To be honest, I'm not sure what gazetteers even are? Do you mean something like a key-value dictionary?

In any case, I started out with crfpp and then moved on to wapiti mostly because I preferred to work with ANSI C instead of C++ and wapiti did provided all the features I needed. For what it's worth, I am using a dictionaries for some of my feature classifications, but I'm doing the classification in Ruby anyway so I would not have noticed a difference there.

[PaulRenvoise]

That's it, let's say for NER, a gazetteer (or dictionary) will be in the form "LOC New_York".

From what i'm seeing now, wapiti seems more promising than CRFPP! May I ask what do you classify?
I'm having troubles understanding some basics things and i'm seeking an implementation to see how it works.

[inukshuk]

I use wapiti for anystyle a parser for bibliographies; in that repository you can see how I use the wapiti gem. It has served me very well; the only issue I've run in so far is that it does not work to train a model repeatedly (e.g, if you train it with data A and then later with data B the resulting model will not be correct), but that's a minor nuisance because it's easy to work around it (you can simply train a new model with data A+B).

Anyway, in my experience, the biggest effort is to create good training data; to tackle this I came up with the idea of a graphical editor which works great if I may say so myself. You can see an example on anystyle.io.

Out of curiosity, what do you want to classify?

[PaulRenvoise]

I'm using wapiti to do NER, and i'm currently at the stage of finding the best (or a least a suitable) set of features. I have labeled data, and test data, but the results are not good enough to me. Also, the unigram/bigram/both observation is still blurry to me..
I'm going check out anystyle!