Jun 28, 2022 · We propose to enhance the representation of segment with external knowledge by a weakly-supervised method. Experiments demonstrate the effectiveness of our ...
Experiments demonstrate the effectiveness of our model and the improve- ment by incorporating external knowledge. Introduction. Aspect detection seeks to ...
[AAAI-22] Student Abstract and Poster Program. Add to Favorites Quickview. Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract).
Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract) · Article. June 2022. ·. 3 Reads. Proceedings of the AAAI Conference on ...
This issue has drawn research interest in weakly supervised learning (WSL), which uses noisy labeled data as weak signals to label many unlabeled data, thus ...
Clustering techniques and graph network analysis are applied to enhance seed words selection rather than manually. 2 Literature Review. Several approaches have ...
This work considers weakly supervised approaches for training aspect classifiers that only require the user to provide a small set of seed words for aspect ...
Zheng, Y. Cai, and L. Li, “Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract),” In Proceedings of the 36th AAAI Conference ...
Oct 22, 2024 · We propose in this paper a framework to automatically analyzing opinions of students expressed in reviews. Specifically, the framework relies on aspect-level ...
Missing: External | Show results with:External
This paper proposes a novel weakly supervised method for implicit aspect extraction, which is a task to classify a sentence into a pre-defined implicit aspect ...
Missing: Enhance External (Student