The dynamic-semantic-framework of a literature QAS

In the paper we propose the dynamic-semantic-framework (DSF), which is a strategy, used in the analysis of question answer system (QAS) of Chinese question sentences. With the DSF, the system omits the traditional analysis on the syntax level, which is always quite complex in Chinese oral, and directly extracts keywords from the sentences dynamically. The DSF is translated to query mode in order to get information from the knowledge base, which contains the information of the Chinese authors and their works. The answering process outputs the answer abstracted from the knowledge base. The experimental results show that the DSF can be readjusted if the query in the knowledge base fails, and with this strategy, the system can avoid the query failure caused by the incorrectly analysis of the keywords.