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Authorship attribution deals with identifying the authors of anonymous texts. Traditionally,
research in this field has focused on formal texts, such as essays and novels, but recently
more at...
Multi-labeled corpora, where each document is tagged with a set of labels, are ubiquitous. When the number of unique labels in the dataset is large, there are naturally some dependencies among the lab...
Studying the History of Ideas Using Topic Models
Studying the History of Ideas Topic Models
2015/6/12
How can the development of ideas in a scientific field be studied over time? We apply unsupervised topic modeling to the ACL Anthology to analyze historical trends in the field of Computational Lingui...
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Monte Carlo Methods Maximum Margin Supervised Topic Models
2015/1/24
Monte Carlo Methods for Maximum Margin Supervised Topic Models.
Domain-Specific Term Rankings Using Topic Models（图）
Domain-Specific Term Rankings Topic Models
2015/1/24
A widely used approach for keyword extraction and content-based tag recommendation is ranking terms according to some statistical criteria. In many cases documents such as news articles and product re...