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A linguistic analyzer based on KCTs (keyword classification trees) was trained on sentences from the ATIS (Air Travel Information System) air travel task and incorporated into the system (CHANEL) built at CRIM (Centre de Recherche Informatique de Montreal) for the Nov. 1992 ATIS benchmarks. Word sequences were
Keyword search provides a uniform way of accessing the vast volume of structured and unstructured data present in many enterprises. Existing research on improving the effectiveness of the keyword search has largely focused on result ranking mechanisms, with little consideration given to user feedback. We are working
In the age of Internet, with the online information explosive growth, people want to find information we need in the cyberworld fleetly and exactly. The information retrieval method based on the keyword or the simple logic-combination of the keywords has been unable to meet the people's need of information getting to
This work aims to find the medical information suited to the conditions, by analyzing the keywords provided from an user. With the given information, this model can be used to provide a flexible, compatible and effective searching paper for medical information. The proposed framework which helps medical institutions
system, classification of keywords by higher ranking of topics has contributed to an active role for the extraction of summarization, the results of summarization ratio in social web is 40%-50%.
the linear space. BZ-tree is constructed using Z curve. BZ-tree is a balanced multi-branch tree. BZ-tree has the characteristic of B+-tree and R-tree. In BZ-tree, Z values of the points are the keywords, and all points are stored in leaf nodes, ordered by Z values. Using the reduction of the dimensionality of BZ-tree
Based on the research and analysis of interactive text properties, the word frequency statistics and synonyms merger are imported to obtain the keywords of interactive text. The Sentence similarity is used to describe the degree of coupling between sentences. Then a novel topic partition algorithm based on average
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