Method and apparatus for operating a Frequently Asked Questions (FAQ) - based system
作者： Ding Liu
DOI:
关键词: Information retrieval 、 Computer science 、 Classifier (UML) 、 Set (abstract data type) 、 Frequently asked questions
摘要: Typical frequently-asked question (FAQ) systems perform keyword searches on queries to a database of answers deliver an answer user. The present invention user generated query in classifier trained search questions set FAQs. the correspond answers. Upon finding relevant question, system returns corresponding Searching against generates more accurate results for
lens.org 参考文章(47)
Vijay Dheap, Lee M. Surprenant, Nicholas E. Poore, Michael D. Whitley, Providing Intelligent Inquiries In Question Answer Systems ,(2012)
Yajuan Duan, Ming Zhou, Heung-Yeung Shum, Furu Wei, Chengjie Sun, Xiaohua Liu, Hong Sun, Learning-Based Processing of Natural Language Questions ,(2013)
Tanveer A. Faruquie, Mukesh K. Mohania, Ullas B. Nambiar, Systems and Methods for Semantics Based Domain Independent Faceted Navigation Over Documents ,(2010)
Nils Henry Pohlmann, Reena Agarwal, Edward Harris Harris, Automatic generator and updater of faqs ,(2007)
Ellis K. Cave, Mithun Balakrishna, Automatic generation of statistical language models for interactive voice response applications conference of the international speech communication association. ,(2006)
Zhao Yan Ming, Tat Seng Chua, Automatic Frequently Asked Question Compilation From Community-Based Question Answering Archive ,(2011)
Gokhan Tur, Dilek Hakkani Tur, Svetlana Stenchikova, Answer determination for natural language questioning ,(2005)
Lun Xiao, John R. Hind, Yongcheng Li, Li Chen, Method and apparatus for enhancing compound documents with questions and answers ,(2009)
Yunbo Cao, Chin-Yew Lin, Clustering question search results based on topic and focus ,(2008)
David A. Ferrucci, David C. Gondek, Jennifer Chu-Carroll, Adam P. Lally, James W. Murdock, Providing answers to questions using hypothesis pruning ,(2011)