chizhu/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统
Constructs a Neo4j knowledge graph from extracted character triples, then performs NLP-based question answering through LTP tokenization, POS tagging, and named entity recognition to query relationships. The Flask web application provides interactive graph visualization, relationship search, and QA interfaces backed by graph database queries on structured literary data.
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