Automatic document metadata extraction using support vector machines

By Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zha, Zhenyue Zhang, Edward A. Fox. 2003 Joint Conference on Digital Libraries, 2003. Proceedings., 2003

349 citations recorded by the source corpus.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/0565c3e3374a8edf372f0fa25386b8325a47b037

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. C. Lee Giles
2. Hui Han
3. Hongyuan Zha
4. Kostas Tsioutsiouliklis
5. Cheng Li
6. Saif M. Mohammad
7. Cornelia Caragea
8. Corina Florescu

Citations in the corpus

• Name disambiguation in author citations using a K-way spectral clustering method (2005, methodology): “Citation attributes can also be extracted by other methods such as rule-based sys-tem [12], hidden Markov models [41, 43, 44], or Support Vector Machines [25].”
• Research-paper recommender systems: a literature survey (2015, neutral): “[256-260], or citation extraction and matching [261].”
• Two supervised learning approaches for name disambiguation in author citations (2004, methodology): “Citation attributes can be extracted by methods such as regular expression matching, rule-based system [10], hid­den Markov models [33, 34, 35], or Support Vector Machines [20].”