3 papers
cs.CL2018
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models
Shudong Hao, Michael J. Paul
Probabilistic topic modeling is a popular choice as the first step of crosslingual tasks to enable knowledge transfer and extract multilingual features. While many multilingual top…
cs.CL2018
Learning Multilingual Topics from Incomparable Corpus
Shudong Hao, Michael J. Paul
Multilingual topic models enable crosslingual tasks by extracting consistent topics from multilingual corpora. Most models require parallel or comparable training corpora, which li…
cs.CL2018
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Shudong Hao, Jordan Boyd-Graber, Michael J. Paul
Multilingual topic models enable document analysis across languages through coherent multilingual summaries of the data. However, there is no standard and effective metric to evalu…