Leveraging Large Language Models and Self-Training for Effective Cross-Domain Sentence Pattern Structure Parsing

An innovative LLM-enhanced self-training approach that leverages partial syntactic rules and target domain sentences to dynamically generate training data, enabling effective cross-domain adaptation of Sentence Pattern Structure (SPS) parsing.