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Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean
TLDR
The error analysis demonstrates that this revision of PKT-UD allows the parsing model to learn relations more robustly, reducing several critical errors that used to be made by the previous model.
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Weighted Training for Cross-Task Learning
TLDR
TAWT is introduced, a weighted training algorithm for cross-task learning based on minimizing a representationbased task distance between the source and target tasks that allows one to reason in a theoretically principled way about several critical aspects of cross- task learning.
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Comparative Analytical Study of Cutting-Edge Dependency Parsing for Nature Language Processing
TLDR
This in-depth comparative analytical study mostly focuses on fundamental concepts and current trends and has comprehensively analyzed state-of-the-art implementations of different approaches.
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