Data Extraction from Natural Language using Universal Networking Language

被引:0
|
作者
Saha, Aloke Kumar [1 ]
Mridha, M. F. [1 ]
Rafiq, Jahir Ibna [1 ]
Das, Jugal Krishna [2 ]
机构
[1] Univ Asia Pacific, Dept Comp Sci & Enginerring, Dhaka, Bangladesh
[2] Jahangirnagar Univ, Dept Comp Sci & Engn, Dhaka, Bangladesh
关键词
Big Data; Data Extraction; NLP; Universal Networking; Natural Language Computing; Machine Learning;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Data extraction, which falls under the area of Natural Language Processing (UNL), finds specific data from unstructured data. This research paves the way to introduce a unique technique on data extraction - providing the user with exactly what is asked without any mimicry of unsolicited data. The proposal sets logical and symmetrical relation between the search criteria and operational data. Since the data is unstructured and volume can be relatively high, we have emphasized highly on putting the data under categories - defined and used by the researchers for further exploitation of data. Universal Networking Language (UNL) is efficiently used to compare data and merge. A new approach of machine learning is presented herein that essentially augments efficiency of Natural Language Computing (NLC) and Cognitive Computing (CC). This proposed approach uses UNL relationship and successful test data shows much improved results and efficient generalization. Existing machine learning approaches are widely used on numeric data which are producing expected results but one key contention is the limitation of data type that can be handled. Current models fail to properly train on the semantics, logical consistency; many natural language properties are either ignored or prove too much of a task. Consequently, the approach presented herein this paper carries further positive points in producing meaningful and worthwhile result. Moreover, complex data that are consisted of alphanumeric data, sequence and resulting criteria can be executed correctly.
引用
收藏
页码:1228 / 1232
页数:5
相关论文
共 50 条
  • [1] Information Extraction from Natural Language Using Universal Networking Language
    Saha, Aloke Kumar
    Mridha, M. F.
    Rafiq, Jahir Ibna
    Das, Jugal K.
    [J]. ADVANCES IN COMPUTER COMMUNICATION AND COMPUTATIONAL SCIENCES, IC4S 2018, 2019, 924 : 283 - 292
  • [2] Bangla DeConverter for Extraction of BanglaText from Universal Networking Language
    Ali, Md Nawab Yousuf
    Rahman, Md Lizur
    Sorwar, Golam
    [J]. INFORMATION, 2019, 10 (10)
  • [3] Representation of Universal Quantifier in Bulgarian Language with Universal Networking Language
    Stoykova, Velislava
    [J]. PROCEEDINGS OF 5TH WORLD CONFERENCE ON LEARNING, TEACHING AND EDUCATIONAL LEADERSHIP, 2015, 186 : 805 - 810
  • [4] Data Extraction by Using Natural Language Processing Tool
    More, Sujata D.
    Madankar, Mangala S.
    Chandak, M. B.
    [J]. HELIX, 2018, 8 (05): : 3846 - 3848
  • [5] Natural language generation from Universal Dependencies using data augmentation and pre-trained language models
    Nguyen, Dang Tuan
    Tran, Trung
    [J]. International Journal of Intelligent Information and Database Systems, 2023, 16 (01) : 89 - 105
  • [6] Building a Language-Independent Discourse Parser using Universal Networking Language
    Navaneethakrishnan, Subalalitha Chinnaudayar
    Parthasarathi, Ranjani
    [J]. COMPUTATIONAL INTELLIGENCE, 2015, 31 (04) : 593 - 618
  • [7] Amazigh verb in the Universal Networking Language
    Taghablout, Imane
    Allah, Fadoua Ataa
    El Marraki, Mohamed
    [J]. 2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2015,
  • [8] Researchers work on universal networking language
    Lawton, G
    [J]. COMPUTER, 1999, 32 (02) : 18 - 18
  • [9] Punjabi DeConverter for generating Punjabi from Universal Networking Language
    Kumar, Parteek
    Sharma, Rajendra Kumar
    [J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2013, 14 (03): : 179 - 196
  • [10] Punjabi DeConverter for generating Punjabi from Universal Networking Language
    Parteek Kumar
    Rajendra Kumar Sharma
    [J]. Journal of Zhejiang University SCIENCE C, 2013, 14 : 179 - 196