Search Results for author:
Found 2 papers, 1 papers with code
An Uncertainty-Aware Encoder for Aspect Detection
The goal is approximating similarity between segments and aspects in the embedding space and their ground-truth similarity generated from seed words.
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
Our main concepts are to add a number of seed words to the initial set and to treat the task of noise resolution as a task of augmenting data for a low-resource task.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
