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Controlled CNN-based Sequence Labeling for Aspect Extraction

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arxiv 1905.06407 v2 pith:QCFOBFQU submitted 2019-05-15 cs.CL cs.LG

Controlled CNN-based Sequence Labeling for Aspect Extraction

classification cs.CL cs.LG
keywords aspectextractioncontrolcontrolledmodifiedmodulesachievesanalysis
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using a modified CNN called controlled CNN (Ctrl). The modified CNN has two types of control modules. Through asynchronous parameter updating, it prevents over-fitting and boosts CNN's performance significantly. This model achieves state-of-the-art results on standard aspect extraction datasets. To the best of our knowledge, this is the first paper to apply control modules to aspect extraction.

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