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AAAI 2022

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

Short Paper AAAI Student Abstract and Poster Program Artificial Intelligence

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.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
905315126040695796
v2026.09.13