Research on Question Answering System of Character Relationship Based on Literary Works
Fulian Yin, Sitong Li, Ying Zhou, Fangyuan Ju · 2020 International Conference on Modern Education and Information Management (ICMEIM) · 2020
In view of the huge chapter system and complicated character relationships of existing literary works, users obtain accurate character relationships difficulty, the paper proposes a research on the character relationship question answering system based on literary works and conducts an example analysis. Natural language processing technologies such as part-of-speech tagging and entity recognition are used to study the automatic extraction method of character relationships in literary works. The paper realizes the function of quickly giving answers to related relationships based on the names of characters entered by the users. Typical cases verify the effectiveness of the question answering system.