Question answer system based on natural language understanding

被引:0
|
作者
Guo, Qing-Lin [1 ,2 ]
Fan, Xiao-Zhong [2 ]
机构
[1] Dept. of Computer Science, North China Electric Power University, Beijing 102206, China
[2] Dept. of Computer Science, Beijing Institute of Technology, Beijing 100081, China
关键词
Formal languages - Formal logic - Internet - Semantics;
D O I
暂无
中图分类号
学科分类号
摘要
Automatic Question Answer System (QAS) is a kind of high-powered software system based on Internet. Its key technology is the interrelated technology based on natural language understanding, including the construction of knowledge base and corpus, the Word Segmentation and POS Tagging of text, the Grammatical Analysis and Semantic Analysis of sentences etc. This thesis dissertated mainly the denotation of knowledge-information based on semantic network in QAS, the stochastic syntax-parse model named LSF of knowledge-information in QAS, the structure and constitution of QAS. And the LSF models parameters were exercised, which proved that they were feasible. At the same time, through the limited-domain QAS which was exploited for banks by us, these technologies were proved effective and propagable.
引用
收藏
页码:419 / 422
相关论文
共 50 条
  • [41] Research on Computer Natural Language Processing Intelligent Question Answering System Based on Knowledge Graph
    Zhan, Liuchun
    Huang, Changjiang
    PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND DIGITAL APPLICATIONS, MIDA2024, 2024, : 70 - 74
  • [42] Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
    Mitra, Arindam
    Clark, Peter
    Tafjord, Oyvind
    Baral, Chitta
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 3003 - 3010
  • [43] Augmenting an Answer Set Based Controlled Natural Language with Temporal Expressions
    Schwitter, Rolf
    PRICAI 2019: TRENDS IN ARTIFICIAL INTELLIGENCE, PT I, 2019, 11670 : 500 - 513
  • [44] Answer Extraction Based on Query Expansion in Chinese Question Answering System
    Jia, Keliang
    Sun, Yongle
    Li, Zhinuo
    IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, 2008, : 351 - +
  • [45] Short and Open Answer Question Assessment System based on Concept Maps
    Ben Salem, Safa
    Cheniti-Belcadhi, Lilia
    Braham, Rafik
    Delestre, Nicolas
    JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2016, 9 (03) : 49 - 67
  • [46] SocialQ&A: An Online Social Network Based Question and Answer System
    Shen, Haiying
    Liu, Guoxin
    Vithlani, Nikhil
    24TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS ICCCN 2015, 2015,
  • [47] Expert Knowledge-Based Apparel Recommendation Question and Answer System
    刘栒
    史有群
    罗辛
    朱国学
    JournalofDonghuaUniversity(EnglishEdition), 2022, 39 (01) : 55 - 64
  • [48] Answer extracting based on passage retrieval in Chinese question answering system
    Yu, Zhengtao
    Han, Lu
    Mao, Cunli
    Li, Yunwei
    Qiu, Yanxia
    Meng, Xiangyan
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS, 2007, 4490 : 598 - +
  • [49] AUTONLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
    Le, Nham
    Lai, Tuan Manh
    Bui, Trung
    Kim, Doo Soon
    1ST CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS & THE 10TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: PROCEEDINGS OF SYSTEM DEMONSTRATIONS (AACL-IJCNLP 2020), 2020, : 8 - 13
  • [50] A relationship-based social question and answer system in social network
    Du, Qing
    Wang, Qixuan
    Huang, Dongping
    Cai, Yi
    Wang, Tao
    Min, Huaqing
    Journal of Information and Computational Science, 2015, 12 (10): : 3783 - 3798