Teanga: A Linked Data based platform for Natural Language Processing

被引：0
|
作者：
Ziad, Housam [1 ]
McCrae, John P. [1 ]
Buitelaar, Paul [1 ]
机构：
[1] Natl Univ Ireland, Insight Ctr Data Analyt, Galway, Ireland
来源：
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) | 2018年
关键词：
Natural Language Processing; Linked Data; NLP Architecture; NLP Framework;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or multiple services in a pipeline. Teanga focuses on the problem of NLP services interoperability by using linked data to define the types of services input and output. Teanga's strengths include being easy to install and run, easy to use, able to run multiple NLP tasks from one interface and helping users to build a pipeline of tasks through a graphical user interface.
引用
收藏
页码：2410 / 2415
页数：6
相关论文
共 50 条
  • [21] Data augmentation approaches in natural language processing: A survey
    Li, Bohan
    Hou, Yutai
    Che, Wanxiang
    AI OPEN, 2022, 3 : 71 - 90
  • [22] Exploring Multimodal Data Approach in Natural Language Processing Based on Speech Recognition Algorithms
    Oleh, Basystiuk
    Ihor, Farmaha
    Zoriana, Rybchak
    2023 17TH INTERNATIONAL CONFERENCE ON THE EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS, CADSM, 2023,
  • [23] UMLS-based data augmentation for natural language processing of clinical research literature
    Kang, Tian
    Perotte, Adler
    Tang, Youlan
    Ta, Casey
    Weng, Chunhua
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2021, 28 (04) : 812 - 823
  • [24] Natural language processing-based approach for automatically coding ship sensor data
    Kim, Yunhui
    Park, Kwangphil
    Yoo, Byeongwoo
    INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2024, 16
  • [25] Log Layering Based on Natural Language Processing
    Shen, Hanji
    Long, Chun
    Wan, Wei
    Li, Jun
    Qin, Yakui
    Fu, Yuhao
    Song, Xiaofan
    2019 21ST INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ICT FOR 4TH INDUSTRIAL REVOLUTION, 2019, : 660 - 663
  • [26] News Analytical Toolkit: An Online Natural Language Processing Platform to Analyze News
    McCann, Ian
    Tahmassebi, Amirhessam
    Foo, Simon Y.
    Erlebacher, Gordon
    Meyer-Baese, Anke
    NEXT-GENERATION ANALYST VI, 2018, 10653
  • [27] Smart Project Management: Interactive Platform Using Natural Language Processing Technology
    Chen, Jieh-Haur
    Su, Mu-Chun
    Azzizi, Vidya Trisandini
    Wang, Ting-Kwei
    Lin, Wei-Jen
    APPLIED SCIENCES-BASEL, 2021, 11 (04):
  • [28] A New Data Structure for Processing Natural Language Database Queries
    Frost, Richard A.
    Peelar, Shane
    WEBIST: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, 2019, : 80 - 87
  • [29] Solutions of Creating Large Data Resources in Natural Language Processing
    Huynh Cong Phap
    RECENT DEVELOPMENTS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 2016, 642 : 243 - 253
  • [30] A Survey of Natural Language Processing Implementation for Data Query Systems
    Wong, Albert
    Joiner, Dakota
    Chiu, Chunyin
    Elsayed, Mohamed
    Pereira, Keegan
    Khmelevsky, Youry
    Mahony, Joe
    IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SYSTEMS SCIENCE AND ENGINEERING (IEEE RASSE 2021), 2021,
12345