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Users of search engines interact with the system using different size and type of queries. Current search engines perform well with keyword queries but are not for verbose queries which are too long, detailed, or are expressed in more words than are needed. The detection of verbose queries may help search engines to get pertinent results. To accomplish this goal it is important to make some appropriate...
The Knowledge File System (KFS) is a smart virtual file system that sits between the operating system and the file system. Its primary functionality is to automatically organize files in a transparent and seamless manner so as to facilitate easy retrieval. Think of the KFS as a personal assistant, who can file every one of you documents into multiple appropriate folders, so that when it comes time...
With the development of Question Answering System which is a hot topic in the area of Artificial Intelligence, the set of FAQ (Frequently Asked Question) has become a widely used knowledge base and it do play an important role in Question Answering System. Besides this, it is also important in Information Retrieval. Therefore, the problem of how to construct and maintain the FAQ automatically has...
World Wide Web is hosting huge information regarding lots of areas and education is not an exception. Given the huge amount of data, searching for any educational resource manually is very difficult. To overcome this, an intelligent repository of educational resources that helps to decide among the available resources is needed. This paper discusses an attempt to build such repository. This will help...
Extracting question-answer pairs from online forums is a meaningful work due to the huge amount of valuable user generated resource contained in forums. In this paper we consider the problem of extracting Chinese question-answer pairs for the first time. We present a strategy to detect Chinese questions and their answers. We propose a sequential rule based method to find questions in a forum thread,...
In this paper, the purpose is to arrange information to understand at one view. The proposed summarization frame technology is a system to hierarchically arrange and classify information by targeting content and level of importance in sentences. Moreover, the technique in which the Concept Base, the Degree of Association Algorithm, the Time Judgment system and the Place judgment system are used to...
This paper presents a novel approach for automatic text categorization. The mainstream of the research on rule-based classifier regards document as a container of term, and generates rules by using the term distribution in documents. General speaking, there must be existed some kind of semantic relevance between term and paragraph in a document. We call it Meaningful Inner Link Objects-MILO which...
Notice of Violation of IEEE Publication Principles"A Foundation for Knowledge System with Application in Information Retrieval and Knowledge Acquisition," by Zhi Teng, Ye Liu, Fuji Ren,in the Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08, Oct. 2008After careful and considered review of the content and authorship of...
An experimental prototype system was created and used to investigate how information relevant to analyst queries, and constrained by a contextual model, can be found over a large information space. Agents employing the ant model sift through documents quickly using a transductive support machine classifier and return those meeting a classifier which is constantly refined through feedback from semantic...
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