Abstract
In this paper we describe and present the results of the two systems, called here X2C-A and X2C-B, that we specifically developed and submitted for our participation to ABSITA 2018, for the Aspect Category Detection (ACD) and Aspect Category Polarity (ACP) tasks. The results show that X2C-A is top ranker in the official results of the ACD task, at a distance of just 0.0073 from the best system; moreover, its post deadline improved version, called X2C-A-s, scores first in the official ACD results. About the ACP results, our X2C-A-s system, which takes advantage of our ready-to-use industrial Sentiment API, scores at a distance of just 0.0577 from the best system, even though it has not been specifically trained on the training set of the evaluation.
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