Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)

Zhuoming Zheng, Yi Cai, Liuwu Li

[AAAI-22] Student Abstract and Poster Program
Abstract: Aspect detection aims to identify aspects of reviews and is an essential up-stream task of opinion mining and so on. However, existing weakly-supervised methods suffer from lacking the ability of identifying implicit aspects with infrequent aspect terms and "Misc" aspects. To tackle these problems, we propose to enhance the representation of segment with external knowledge by a weakly-supervised method. Experiments demonstrate the effectiveness of our model and the improvement by incorporating external knowledge.

Sessions where this paper appears

  • Poster Session 5

    Sat, February 26 12:45 AM - 2:30 AM (+00:00)
    Blue 5
    Add to Calendar

  • Poster Session 9

    Sun, February 27 8:45 AM - 10:30 AM (+00:00)
    Blue 5
    Add to Calendar