A Comparative Study of Information Extraction Strategies-Reference-Cited by-同舟云学术

A Comparative Study of Information Extraction Strategies

Published:2002 Issue: Volume: Page:349-359
ISSN:0302-9743
Container-title:Computational Linguistics and Intelligent Text Processing
language:
Short-container-title:

Author:

Feldman Ronen,Aumann Yonatan,Finkelstein-Landau Michal,Hurvitz Eyal,Regev Yizhar,Yaroshevich Ariel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45715-1_36

Reference6 articles.

1. Appelt D. E., Hobbs J., Bear J., Israel D. and Tyson M., 1993. “FASTUS: A Finite-State Processor for Information Extraction from Real-World Text”, Proceedings. IJCAI-93, Chambery, France, August 1993.

2. Aseltine J., 1999. “WAVE: An Incremental Algorithm for Information Extraction”. In Proceedings of the AAAI 1999 Workshop on Machine Learning for Information Extraction.

3. Feldman R., Liberzon Y, Rosenfeld B., Schler J. and Stoppi J., 2000. “A Framework for Specifying Explicit Bias for Revision of Approximate Information Extraction Rules”. KDD 2000: 189–199.

4. Lin D. 1995. University of Manitoba: Description of the PIE System as Used for MUC-6. In Proceedings of the Sixth Conference on Message Understanding (MUC-6), Columbia, Maryland.

5. Soderland S., 1996. “Learning Text Analysis Rules for Domain-specific Natural Language Processing”. Ph.D. thesis, technical report UM-CS-1996-087 University of Massachusetts, Amherst.

Cited by 11 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. Biomedical Literature Mining and Its Components;Methods in Molecular Biology;2022

2. A knowledge construction methodology to automate case‐based learning using clinical documents;Expert Systems;2019-04-10

3. The H $\imath$ L ε X System for Semantic Information Extraction;Transactions on Large-Scale Data- and Knowledge-Centered Systems V;2012

4. Text Mining and Information Extraction;Data Mining and Knowledge Discovery Handbook;2009

5. Extracting Structured Data from Web Pages with Maximum Entropy Segmental Markov Model;Web Information Systems Engineering - WISE 2009;2009