Current Results & Presentation

I did a presentation last Friday on my current progress in the thesis, which can be found below.

Since then, I have managed to get Naive Bayes running in NLTK and it performs particularly well, almost in-line with SVM and above Maximum Entropy. I have been able to combine the three classifiers in a max-votes strategy, with the results:

weighted precision 66.74% modified precision 78.12%

weighted recall 67.29% modified recall 75.86%

weighted fscore 67.01% modified fscore 76.97%

Its important to remember that these (finalish) results are based on single annotations.

As I'm currently getting more annotations, I will update these with hopefully better performance

(but on a smaller subset of articles).