The other two baselines that achieved a better performance than our model are unigrams (U) for the t+I+R setting and unigrams+POS (U+POS) for the t+I+R setting with an F-1 measure of 0.691 and 0.69 respectively.
we see that we achieve classification performance which is similar to, and, in most cases, better than that obtained from the baseline features by using thread specific features which are much less in number (no.