文章基本信息

标题：Analogous Entity Extraction and Endow With Suggestions from Comparative Questions
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作者：Kishore Kumar Nama ; N. Chander ; Janapati Venkata Krishna 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：16
期号：4
页码：133-136
出版社：Seventh Sense Research Group
摘要：A human decision making process is a typical part when comparing one thing with another thing, purchase scheme during online. Person cannot purchase a product without comparing to another one and it is also not fare, an ideal performance it won’t give. In this paper we present an ideal way for exigently equal entities from relative questions that are posted by the user online. To improve the search experience it gives an opportunity by exigently offering similarity to user. For a large online question archive we have a bootstrapping supervised algorithm is employed here for relative question recognition and equal entity distillation by collecting. In this we are providing user to add new attribute of their interest to the annotation form, new attribute information can be retrieved by the next search. Online shopping technique can be outperforming the existing system.
关键词：Information extraction; Natural language processing; part of speech; Robust automated production of IER