Papers with Histories

2 papers
A Pragmatic Approach for Classical Chinese Word Segmentation (L18-1)

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Challenge: Classical Chinese word segmentation is largely neglected due to its obsoleteness . a new approach to segmentation using a marked-up corpus is needed .
Approach: They propose a pragmatic approach to deal with Classical Chinese word segmentation without any marked-up corpus.
Outcome: The proposed method makes the CCWS without any marked-up corpus more accurate compared with collocation-based methods.
Temporal-Aware Soft Prompt Tuning for Automatic Text Dating (2025.naacl-long)

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Challenge: Existing methods for automatic text dating overlook the evolution of word meanings in texts spanning long periods.
Approach: They propose a temporal-aware text representation that dynamically captures both semantic variance and invariance.
Outcome: The proposed approach outperforms existing methods on two diachronic datasets.

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