Papers by Shudong Hao
Analyzing Bayesian Crosslingual Transfer in Topic Models (N19-1)
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| Challenge: | a theoretical analysis of crosslingual transfer in probabilistic topic models is presented . we use Gibbs sampling to quantify the loss of knowledge across languages . |
| Approach: | They propose a method to quantify the loss of knowledge across languages during crosslingual transfer in probabilistic topic models. |
| Outcome: | The proposed model quantifies the loss of knowledge across languages during this process . it is validated on a diverse set of five languages and discusses best practices for data collection and model design . |
Learning Multilingual Topics from Incomparable Corpora (C18-1)
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| Challenge: | Existing models require parallel or comparable training, which limits their ability to generalize. |
| Approach: | They propose a method that demystifies the knowledge transfer mechanism behind multilingual topic models by defining an alternative but equivalent formulation. |
| Outcome: | The proposed model learns coherent multilingual topics from partially and fully incomparable corpora with limited amounts of dictionary resources. |
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation (N18-1)
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| Challenge: | Existing metrics to evaluate multilingual topic quality are inadequate for multilingual document analysis. |
| Approach: | They propose a new intrinsic evaluation metric for multilingual topic models that correlates well with human judgments of multilingual coherence and performance in downstream applications. |
| Outcome: | The proposed model improves the performance of multilingual topic models in low-resource languages and with human judgments of multilinguistic topic coherence. |