Combining labeled and unlabeled data with word-class distribution learning


We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it task of information extraction (IE) by utilizing unlabeled sentences to improve supervised classification methods. WCDL iteratively builds class label distributions for each word in the dictionary by averaging predicted labels… (More)
DOI: 10.1145/1645953.1646218


3 Figures and Tables


Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.