Natural Language Interfaces: What Is the Problem? - A Data-Driven Quantitative Analysis

被引：0
|
作者：
Cimiano, Philipp [1 ]
Minock, Michael [2 ]
机构：
[1] Delft Univ Technol, WIS, Delft, Netherlands
[2] Umea Univ, Umea, Sweden
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS | 2010年 / 5723卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
While qualitative analyses of the problems involved in building natural language interfaces (NLIs) have been available, a quantitative grounding in empirical data has been missing. We fill this gap by providing a quantitative analysis on the basis of the Geobase dataset. We hope that this analysis can guide further research in NLIs.
引用
收藏
页码：192 / +
页数：2
相关论文
共 50 条
  • [1] Data-Driven and Ontological Analysis of FrameNet for Natural Language Reasoning
    Ovchinnikova, Ekaterina
    Vieu, Laure
    Oltramari, Alessandro
    Borgo, Stefano
    Alexandrov, Theodore
    [J]. LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2010,
  • [2] A Data-Driven Scheme for Quantitative Analysis of Texture
    Yafei Wang
    Chenfan Yu
    Leilei Xing
    Kailun Li
    Jinhan Chen
    Wei Liu
    Jing Ma
    Zhijian Shen
    [J]. Metallurgical and Materials Transactions A, 2020, 51 : 940 - 950
  • [3] Data-driven quantitative analysis of acquisition footprints
    Cai, Xiling
    Li, Dongsheng
    Yang, Zhaobin
    Wang, Meisheng
    Xia, Jianjun
    [J]. Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2014, 49 (02): : 230 - 235
  • [4] A Data-Driven Scheme for Quantitative Analysis of Texture
    Wang, Yafei
    Yu, Chenfan
    Xing, Leilei
    Li, Kailun
    Chen, Jinhan
    Liu, Wei
    Ma, Jing
    Shen, Zhijian
    [J]. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2020, 51 (02): : 940 - 950
  • [5] Automatic Corpus Extension for Data-driven Natural Language Generation
    Manishina, Elena
    Jabaian, Bassam
    Huet, Stephane
    Lefevre, Fabrice
    [J]. LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2016, : 3624 - 3631
  • [6] Natural Language Interfaces to Data
    Quamar, Abdul
    Efthymiou, Vasilis
    Lei, Chuan
    Ozcan, Fatma
    [J]. FOUNDATIONS AND TRENDS IN DATABASES, 2021, 11 (04): : 319 - 414
  • [7] Data-Driven Innovation: What is it?
    Luo, Jianxi
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 70 (02) : 784 - 790
  • [8] A Framework for Dynamic Data-Driven User Interfaces
    Mirovic, M.
    Milicevic, M.
    Obradovic, I
    [J]. 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2018, : 1421 - 1426
  • [9] Data-driven fuzzy analysis in quantitative mineral resource assessment
    Luo, X
    Dimitrakopoulos, R
    [J]. COMPUTERS & GEOSCIENCES, 2003, 29 (01) : 3 - 13
  • [10] A Data-Driven Approach to Infer Knowledge Base Representation for Natural Language Relations
    Luo, Kangqi
    Luo, Xusheng
    Chen, Xianyang
    Zhu, Kenny Q.
    [J]. PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 1174 - 1180
12345