A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text
Author:
Affiliation:
1. Department of Computer Science , City University of Hong Kong , Hong Kong , China
2. Department of Information Management , Peking University , Beijing , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Geology,Ocean Engineering,Water Science and Technology
Link
https://www.sciendo.com/pdf/10.2478/dim-2021-0005
Reference22 articles.
1. Bird, S. (2006). NLTK: The natural language toolkit. ArXiv, cs.CL/0205028. doi: 10.3115/1225403.1225421
2. Bosma, W., & Vossen, P. (2010). Bootstrapping language neutral term extraction. Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010, 17–23.
3. Grishman, R., & Sundheim, B. M. (1996). Message understanding conference-6: A brief history. COLING 1996 Volume 1: The 16th International Conference on Computational Linguistics, 466–471. doi: 10.3115/992628.992709
4. Hätty, A., Schlechtweg, D., Dorna, M., & Im Walde, S. S. (2020). Predicting degrees of technicality in automatic terminology extraction. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2883–2889. doi: 10.18653/v1/2020.acl-main.258
5. Hua, B. (2013). Extracting information method term from Chinese Academic Literature. New Technology of Library and Information Service, 6, 68–75. doi: 10.11925/infotech.1003-3513.2013.06.11
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparison of Algorithms for Automatic Terminology Extraction on Material of Educational Texts on Biology;2023 33rd Conference of Open Innovations Association (FRUCT);2023-05-24
2. Evolutionary natural-language coreference resolution for sentiment analysis;International Journal of Information Management Data Insights;2022-11
3. Knowledge Entity Extraction and Text Mining in the Era of Big Data;Data and Information Management;2021-07-02
4. Concept and Preliminary Testing of the Two-Stage Technology of Terminology Extraction on the Basis of Topic Modeling and Context Analysis;Informatics and Cybernetics in Intelligent Systems;2021
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3