A comparison of metadata extraction techniques for crowdsourced bibliographic metadata management

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2012, Pages 962-964

  Granitzer, Michael ^a   Hristakeva, Maya ^b   Jack, Kris ^b   Knight, Robert ^b  

^a KNOW CENTER   (Austria)

^b ELSEVIER MASSON   (France)

Author keywords

evaluation; metadata extraction; research papers

Indexed keywords

CONDITIONAL RANDOM FIELD; CORE PROBLEMS; EVALUATION; METADATA EXTRACTION; METADATA MANAGEMENT; REAL WORLD DATA; REAL-WORLD SYSTEM; RESEARCH PAPERS; SOCIAL RESEARCH;

SUPPORT VECTOR MACHINES; VIRTUAL REALITY;

METADATA;

EID: 84863587192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2245276.2245462     Document Type: Conference Paper

References (4)

1. ParsCit: An open-source CRF Reference String Parsing Package. European Language Resources Association, 2008.
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3. H. Han, E. Manavoglu, H. Zha, K. Tsioutsiouliklis, C. L. Giles, and X. Zhang. Rule-based word clustering for document metadata extraction. In Proceedings of the 2005 ACM symposium on Applied computing - SAC '05, page 1049, New York, New York, USA, 2005. ACM Press.
4. K. Seymore, A. McCallum, and R. Rosenfeld. Learning hidden Markov model structure for information extraction. In Proceedings of AAAI 99 Workshop on Machine Learning for Information Extraction, pages 37-42, 1999.