SciPlore xtract: Extracting titles from scientific PDF documents by analyzing style information (Font Size)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6273 LNCS, Issue , 2010, Pages 413-416

  Beel, Jöran ^a,b   Gipp, Bela ^a,b   Shaker, Ammar ^a   Friedrich, Nick ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

document analysis; header extraction; style information; title extraction

Indexed keywords

ACADEMIC SEARCH ENGINES; CITESEER; CONDITIONAL RANDOM FIELD; DOCUMENT ANALYSIS; FONT SIZE; HEADER EXTRACTION; MACHINE LEARNING ALGORITHMS; PDF DOCUMENT; SIMPLE RULES; STYLE INFORMATION; TITLE EXTRACTION;

DIGITAL LIBRARIES; GEARS; INFORMATION RETRIEVAL; PROBABILITY DISTRIBUTIONS; SEARCH ENGINES; SUPPORT VECTOR MACHINES;

LEARNING ALGORITHMS;

EID: 78049405786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15464-5_45     Document Type: Conference Paper

References (3)

1. Han, H., Giles, C. L., Manavoglu, E., Zha, H., Zhang, Z., Fox, E. A.: Automatic document metadata extraction using support vector machines. In: Proceedings of the 3rd ACM/IEEE-CS Joint Conference on Digital libraries, pp. 37-48 (2003)
2. Hu, Y., Li, H., Cao, Y., Teng, L., Meyerzon, D., Zheng, Q.: Automatic extraction of titles from general documents using machine learning. Information Processing and Management 42(5), 1276-1293 (2006)
3. Peng, F., McCallum, A.: Accurate Information extraction from research papers using conditional random fields. Information Processing and Management 42(4), 963-979 (2006)