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Question classification is an important part of Chinese question answering system, and the result of question classification directly affects the quality of question answering. This paper presents a new method on feature extraction for question classification. HowNet and dependency parsing are used in this new method. The classification experimental results using SVM classifier have shown that the...
The intelligent help system (IHS) is an important assistant platform, especially in online teaching system. At present most search methods of the help systems are mainly based on keyword matches in database query or hierarchical classifications. The outstanding problem is that users are required to have a certain ability of organizing Keywords, otherwise insufficient keywords would limit the query,...
This paper presents a method for a automatically constructed text corpus with limited text for speech synthesis system. It is to collect phonetically rich sentences with high coverage of phonetic contextual units but has a small text size. In this paper, we present a new greedy algorithm to select text from the mother text. The mother text is auto-loaded by the web crawler and it is dealt with speech-music...
Although personal search history is the important information for search engine users, it is not stored and used well. This paper starts with the experience of general users to find and analyze problems, further investigates users subdivision, selects teachers in universities as the representatives of knowledge workers to analyze their demands. Base on the theory of cognition viewpoint, knowledge...
In the recommendation system, the agents cooperate by giving and taking recommendations so they can help each other to gain relevant information. For a researcher, literatures play an important role in his everyday work. Although some tools can help them get literatures, there are still some limitations as lacking cooperation in search, monotony literature sources and deficient personality. In this...
User behavior history has been employed to discover userpsilas preferences and interests for personalized systems. In this paper we propose a framework for extracting user interested items by analyzing user behavior history in digital library environment. Firstly, this paper models every userpsilas behaviors as a user behavior forest (UBF). Then user behavior log is formatted with several additional...
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