doi: 10.4304/jsw.6.8.1409-1416
Automatically Extracting Academic Papers from Web Pages Using Conditional Random Fields Model
- Institute of Scientific and Technical Information of China China, 100038
Abstract
A huge amount of academic papers(including research reports) are being released in web pages. It is important to extract these papers in a structured way for many popular applications, such as science and technology information retrieval and digital library. However, few investigations have been done on the issue of academic paper extraction. This paper proposed a unified approach for automatically extracting academic papers from web pages based on CRF model. In the proposed approach, both academic paper extraction and semantic labeling are performed simultaneously by employing the theoretical Conditional Random Fields(CRF) model. Experimental results show that our approach can achieve significantly better extraction results.
Keywords
- Web data extraction
- Web intelligence
- M
How to Cite
Wei Liu and Jianxun Zeng, "Automatically Extracting Academic Papers from Web Pages Using Conditional Random Fields Model," Journal of Software, vol. 6, no. 8, pp. 1409-1416, 2011. https://doi.org/ 10.4304/jsw.6.8.1409-1416
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).