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Cross-domain Chinese Sentence Pattern Parsing
Feb. 27, 2024, 5:49 a.m. | Yingsi Yu, Cunliang Kong, Liner Yang, Meishan Zhang, Lin Zhu, Yujie Wang, Haozhe Lin, Maosong Sun, Erhong Yang
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 …
abstract analysis arxiv capability chinese cs.ai cs.cl domain framework language language models large language large language models llms paper parsing rules self-training teaching textbook training type
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