Papers by Lin Chuan-An
Chinese Discourse Parsing: Model and Evaluation (2020.lrec-1)
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| Challenge: | Chinese discourse parsing has not yet a consistent evaluation metric . micro vs. macro F1 scores, binary v. multiway ground truth, and left-heavy v . right-heaviness binarization are important for Chinese discourses . |
| Approach: | They propose a neural network model that unifies a pre-trained transformer and a CKY-like algorithm and compare it with previous models with different evaluation scenarios. |
| Outcome: | The proposed model outperforms the previous models with different evaluation scenarios. |
A Unified RvNN Framework for End-to-End Chinese Discourse Parsing (C18-2)
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| Challenge: | Existing work on Chinese discourse parser relies on external packages to extract linguistic features from free text. |
| Approach: | They propose an end-to-end Chinese discourse parser based on recursive neural network to jointly model the subtasks including elementary discourse unit segmentation, tree structure construction, center labeling, and sense labeling. |
| Outcome: | The proposed framework achieves state-of-the-art in the Chinese Discourse Treebank dataset. |