Title :
Reading comprehension system based on knowledge structures
Author :
Chen, Yue ; Wang, Zhifei ; Zhu, Jian
Author_Institution :
Sch. of Comput., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper describes initial work on an automated reading comprehension system that accepts arbitrary text input and generates answers to the questions about the text. An approach to implement reading comprehension system is proposed in this paper. Firstly, the article will be decomposed according to paragraph, sentence and phrase. Every sentence will be compared with the knowledge node, and then append the knowledge representation to the knowledge model. Finally, the answer is generated for the questions. With the experimental corpus the precision of knowledge matching is 65.0%, and precision of question answering is 81.5% with the system knowledge model.
Keywords :
knowledge representation; natural language processing; arbitrary text input; article; knowledge structures; natural language processing; reading comprehension system; Computer science; Data mining; Information analysis; Information retrieval; Knowledge representation; Mathematics; Natural language processing; Natural languages; Robustness; Vocabulary; Natural Language Processing; knowledge representation; knowledge structure; reading comprehension;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486356
