All entries in the tables are higher than the simple unigrams baseline, i.e., F-score for each of the four is higher than unigrams -highlighting that these are better features for sarcasm detection than simple unigrams.
our paper deals with the question: Can word embedding-based features when augmented to features reported in prior work improve the performance of sarcasm detection?