accurate information extraction from research papers



Accurate Information Extraction from Research Papers using Conditional Random Fields. Fuchun Peng. Department of Computer Science. University of Massachusetts. Amherst, MA 01003 fuchun@cs.umass.edu. Andrew McCallum. Department of Computer Science. University of Massachusetts. Amherst, MA 01003.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importance. This paper employs Conditional Random Fields (CRFs) for
There is a large body of research that addresses the extraction of bibliographic information from the reference section of research papers[2,3,4,5,6,7,8]. One group focuses on the reference string segmentation task by assuming the reference strings to be given[2,3,4]while another group also considers the reference string
With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importance. This paper employs Conditional Random Fields (CRFs) for the task of extracting various common fields from the headers and citation of
01.07.2006 -
Accurate Information Extraction from Research Papers using Conditional Random Fields Fuchun Peng Andrew McCallum Department of Computer Science Department of Computer Science University of Massachusetts University of Massachusetts Amherst, MA 01003 Amherst, MA 01003 fuchun@cs.umass.edu
the papers using GROBID, ParsCit and Mendeley. Results of these tools are merged to achieve accurate header extraction. This proposed method has been applied on 75 sample research papers and the overall accuracy of 95.97% is achieved. Index Terms— Information Extraction, Header Extraction,. Data Pre Processing
Fuchun Peng, Andrew McCallum. 2004. Accurate Information Extraction from Research Papers using Conditional Random Fields. HLT-NAACL 2004: Main Proceedings, pages 329–336, Boston, Massachusetts, USA. Association for Computational Linguistics. www.aclweb.org/anthology/N04-1042. BibTeX entry:
@inproceedings{pm04accurate, added-at = {2006-05-10T11:27:02.000+0200}, author = {Peng, Fuchun and McCallum, Andrew}, biburl = {www.bibsonomy.org/bibtex/28d04bc19e470fe4b98e15a27a1e6e7e9/hotho}, booktitle = {HLT-NAACL}, description = {dblp},
05.10.2012 -

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