关键词: 互联网, 问答模式, self-training, 机器学习

Abstract: In the past, the learning for QA pattern relies on the labeled data, and the definition of pattern and the scoring method for the candidate answers are over simplified. The verb and noun sequence was extracted as the skeleton pattern to expand definition of QA pattern. In the learning process, a learning mechanism was established based on self-training. At first, the initial study was completed on a labeled QA pair, then the system would automatically select the reliable data for self training through searching in the Web while the system was running. The scoring method of the candidate answers was also improved by applying several heuristic rules. The experimental results show that the performance of Chinese QA system based on our method is improved significantly.

Key words: Web, QA pattern, self-training, machine learning