Clippers Tuesday: Joo-Kyung Kim on Cross-lingual Transfer Learning for POS Tagging

This Tuesday, Joo-Kyung Kim will be talking about his current work on cross-lingual transfer learning for POS tagging:

POS tagging is a relatively easy task given sufficient training examples, but since each language has its own vocabulary space, parallel corpora are usually required to utilize POS datasets in different languages for transfer learning. In this talk, I introduce a cross-lingual transfer learning model for POS tagging, which utilizes language-general and language-specific representations with auxiliary objectives such as language-adversarial training and language modeling. Evaluating on POS datasets from Universal Dependencies 1.4, I show preliminary results that the proposed model can be effectively used for cross-lingual transfer learning without any parallel corpora or gazetteers.