User-System Cooperation in Document Annotation Based on Information Extraction

Author:

Ciravegna Fabio,Dingli Alexiei,Petrelli Daniela,Wilks Yorick

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. F. Ciravegna, A. Lavelli, G. Satta: “Bringing information extraction out of the labs: the Pinocchio Environment”, in ECAI2000, Proc. of the 14th European Conference on Artificial Intelligence, ed., W. Horn, Amsterdam, 2000. IOS Press

2. P. Kogut and W. Holmes: “Applying Information Extraction to Generate DAML Annotations from Web Pages”, K-CAP 2001 Workshop Knowledge Markup & Semantic Annotation, Victoria B.C., Canada (2001).

3. M. E. Califf, D. Freitag, N. Kushmerick and I. Muslea (eds.): AAAI-99 Workshop on Machine Learning for Information Extraction, Orlando Florida (1999), http://www.isi.edu/~muslea/RISE/ML4IE/

4. R. Basili, F. Ciravegna, R. Gaizauskas (eds.) ECAI2000 Workshop on Machine Learning for IE, Berlin (2000), http://www.dcs.shef.ac.uk/~fabio/ecai-workshop.html

5. F. Ciravegna, N. Kushmerick, R. Mooney and I. Muslea (eds.), IJCAI-2001 Workshop on Adaptive Text Extraction and Mining held in conjunction with the 17th International Conference on Artificial Intelligence, Seattle, (2001), http://www.smi.ucd.ie/ATEM2001/

Cited by 30 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. An Ontology‐Based Contextual Data Modeling for Process Improvement in Healthcare;Semantic Web for Effective Healthcare;2021-11-11

2. Dynamic Search Engine Platform for Cloud Service Level Agreements Using Semantic Annotation;International Journal on Semantic Web and Information Systems;2018-07

3. Ontology Based Feature Extraction From Text Documents;Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management;2018

4. An automatic approach for ontology-based feature extraction from heterogeneous textualresources;Engineering Applications of Artificial Intelligence;2013-03

5. Semantic Annotation and Retrieval of Services in the Cloud;Distributed Computing and Artificial Intelligence;2013

同舟云学术

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