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Aspect-level sentiment classification (ALSC) and aspect oriented opinionwords extraction (AOWE) are two highly relevant aspect-based sentiment analysis(ABSA) subtasks. They respectively aim to detect the sentiment polarity andextract the corresponding opinion words toward a given aspect in a sentence.Previous works separate them and focus on one of them by training neural modelson small-scale labeled data, while neglecting the connections between them. Inthis paper, we propose a novel joint model, Opinion Transmission Network (OTN),to exploit the potential bridge between ALSC and AOWE to achieve the goal offacilitating them simultaneously. Specifically, we design two tailor-madeopinion transmission mechanisms to control opinion clues flow bidirectionally,respectively from ALSC to AOWE and AOWE to ALSC. Experiment results on twobenchmark datasets show that our joint model outperforms strong baselines onthe two tasks. Further analysis also validates the effectiveness of opiniontransmission mechanisms.

Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification