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Large scale Opinion Relation Extraction with Distantly Supervised Neural Network

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Table 1: Syntactic patterns in the system. We denote POS tag sets: NOUN ={ NN, NNS} , VERB = { VB, VBD, VBN,VBP, VBZ} , ADJ = { JJ, JJR, JJS} , ADV = { RB, RBR, RBS}
Figure 1: Representation learning of lexical and syntactic contexts. The left hand side is the five CNNsand the sentence level biLSTM for lexical contexts
Table 4: Comparison with different baseline systems. The dark entries are the highest scores among allsystems, and “*” indicates the highest scores excluding “NN+Pattern”.
Table 6: Results on USAGE corpus.First tworows are state-of-the-art systems on the dataset.Both of them assume gold annotations on opin-ion expressions and targets have been given

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