Language Independent Sequence Labelling for Opinion Target Extraction
Table 3: ABSA SemEval 2014-2016 English results. BY: Brown Yelp 1000 classes; CYF100-CYR200: Clark Yelp Food 100 classes and Clark Yelp Reviews 200 classes; W2VW400: Word2vec Wikipedia 400 classes; ALL: BY+CYF100-CYR200+W2VW400.
['Features', '2014 P', '2014 R', '2014 F1', '2015 P', '2015 R', '2015 F1', '2016 P', '2016 R', '2016 F1']
Table 3 provides detailed results on the Opinion Target Extraction (OTE) task for English. We show in bold our best model (ALL) chosen via 5-fold CV on the training data. Moreover, we also [CONTINUE] show the results of the best models using only one type of clustering feature, namely, the best Brown, Clark and Word2vec models, respectively.