Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training

@article{Karamanolakis2019LeveragingJA,
  title={Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training},
  author={Giannis Karamanolakis and Daniel Hsu and L. Gravano},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.00415}
}
  • Giannis Karamanolakis, Daniel Hsu, L. Gravano
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • User-generated reviews can be decomposed into fine-grained segments (e.g., sentences, clauses), each evaluating a different aspect of the principal entity (e.g., price, quality, appearance). Automatically detecting these aspects can be useful for both users and downstream opinion mining applications. Current supervised approaches for learning aspect classifiers require many fine-grained aspect labels, which are labor-intensive to obtain. And, unfortunately, unsupervised topic models often fail… CONTINUE READING
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