Dissertation > Excellent graduate degree dissertation topics show

Military Knowledge for the Automatic Question Answering System Design and Implementation

Author: GaoQiang
Tutor: HuangYuJi
School: Northeastern University
Course: Computer technology
Keywords: military knowledge Automatic Question Answering System Understanding Information Retrieval Answer extraction
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 19
Quote: 0
Read: Download Dissertation

Abstract


With the socio-economic development, the competition between countries increase intensely which lead the military to an inseparable part of us. Such as the North Korean nuclear issue,911 events, construction of aircraft carrier in Africa and so on military issues, the promotion of universal military knowledge is particularly necessary. If we can establish an automatic question answering system which can answer the question fast and efficiently like an experts. It is will be so convenient to get Professional military knowledge for the people. According to our objectives and the existing technical conditions we have adopted based on the IR (+IE) technology in Chinese Question Answering System. Knowledge base system includes an encyclopedia and a bank cover the questions often asked in military equipment, as well as the use of network resources as a rich knowledge base to expand.For questions and answers system, to understand the issues raised by users is the first step. So the question of understanding should be the focus of study in this article. This paper elaborates on the method of classification by How Net and focus recognition base on full understanding details.Q & A module is important in this system too. the key word from understanding stage need the information retrieval module to quickly find out in the document database of documents related to the answer extraction module. However, information retrieval is a relatively mature technology, so it is not necessary to study much, just improve the existing technology to the question-and-answer system.The answer collection is the most difficult part in this answer system., it iso need to look at a lot of problems. In order to answer accurately extracted from the relevant documents, we will not only match the words used, we also propose a similarity model based on the statement of the method of taking the answer. In By means of the analyzing and studying to the understanding, information retrieval and answer extraction modules, the author put forward their own understanding and the answer extraction algorithm, designed and implemented a web-based Chinese Question-Answering System.

Related Dissertations

  1. Establishment and Update of Similar Users’ Cluster in Personalized Information Retrieval,TP391.3
  2. Our high school English Teaching International Understanding Education Research,G633.41
  3. The Research of Link Structure in Tibetan Web Base on Social Network Analysis,TP393.09
  4. Understanding and Practice of Chinese Communist Party’s Theoretical Study Since the Sixteenth Congress,D261
  5. The Construction of Three Patterns of Legal Hermeneutics,D90
  6. Personalized recommendation based image browsing and retrieval of relevant methods,TP391.41
  7. Theapplication of Particle Swarm Optimization in Query Optimization,TP391.3
  8. The Research and Implementation of Ontology-based Text Information Retrieval Technology,TP391.3
  9. Study and Analysis of the Core Structure of Object Oriented Software,TP311.52
  10. Research of Question Answering System Based on the Analysis of Lexical and Semantic Meanings,TP391.1
  11. Research and Implementation of Gpu-Based Quick Audio Retrieval Algorithms,TP391.41
  12. The Video Image Understanding of Live Fish Used for Water Quality Monitoring,TP391.41
  13. Manual evaluation methods to evaluate the online store retrieval system,TP391.3
  14. Research on Web Crawler Technology in Search Engine,TP391.3
  15. The Study of Q & A System Based on Maximum Entropy Model Semantic Parsing,TP391.1
  16. The Research and Application of Enterprises Documents Search Engines Based on Lucene,TP391.3
  17. English entities answer extraction and Home Find,TP391.1
  18. Research and Design of personalized search engine,TP391.3
  19. Research and Design of the search engine,TP391.3
  20. Research on Financial Blog Crawling and Ranking Algorithm,TP393.092
  21. Research on Adaptive Teaching and Research Information Recommendation Model,TP393.09

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
© 2012 www.DissertationTopic.Net  Mobile