Label-guided Learning for Text Classification
Table 2: The results of text classification accuracy (%) on TCD-1.
['Model', 'YahooQA', 'DBPedia', 'AGNews', 'Yelp-B', 'Yelp-F']
The results illustrate that our proposed framework LguidedLearn can achieve the best performance on all the test datasets of TCD-1. Even compared to some recently published strong text classification algorithms (such as fastText, SWEM, Deep CNN (29 layers), Bi-BloSAN, and LEAM) LguidedLearn can obtain stable and prominent gains, especially on the AGNews, Yelp-B, and Yelp-F datasets.