Experiments with open-domain textual Question Answering
COLING(2000)
摘要
This paper describes the integration of several knowledge-based natural language processing techniques into a Question Answering system, capable of mining textual answers from large collections of texts. Surprizing quality is achieved when several lightweight knowledge-based NLP techniques complement mostly shallow, surface-based approaches.
更多查看译文
关键词
surprizing quality,question answering system,open-domain textual,lightweight knowledge-based nlp technique,mining textual answer,large collection,surface-based approach,knowledge-based natural language processing,natural language processing,knowledge base,question answering
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要