Cross-domain Chinese Sentence Pattern Parsing
CoRR(2024)
摘要
Sentence Pattern Structure (SPS) parsing is a syntactic analysis method
primarily employed in language teaching.Existing SPS parsers rely heavily on
textbook corpora for training, lacking cross-domain capability.To overcome this
constraint, this paper proposes an innovative approach leveraging large
language models (LLMs) within a self-training framework. Partial syntactic
rules from a source domain are combined with target domain sentences to
dynamically generate training data, enhancing the adaptability of the parser to
diverse domains.Experiments conducted on textbook and news domains demonstrate
the effectiveness of the proposed method, outperforming rule-based baselines by
1.68 points on F1 metrics.
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