藏文问答系统中问句的分类方法研究

问句分类在问答系统领域有着重要的研究意义和应用价值。为了提高自动问句分类识别效率,本文提出了基于藏文疑问虚词的问句分类方法。该方法首先提取问句中的藏文虚词;然后根据所得的虚词进行问句分类;其次,进一步将问句细分为问题大类和小类;最后,给问题贴上分类标签。这种方法,既缩小了检索空间又提高了答案的准确性。最后对各种藏文问句分类的准确性进行了测试。结果表明基于藏文虚词问句的分类方法具有可行性和实用性。

Research on question classification of Tibetan question-answering system

Question classification possesses significant research and application vaules in the question answering system. In order to improve the identification efficiency of automatic question classification, we present a new question classification method based on the function words in Tibetan. We first extract Tibetan function words from the questions, and then classify the questions accordingly. Secondly, we further break the questions down into categories and subcategories, and finally affix the questions with different labels. The proposed method reduces the searching scope and improves the accuracy of the answers. We test the accuracy of Tibetan question classification function, and the results further validate that the question classification method based on Tibetan function words is feasible and practical.