An End-to-End Approach for Extracting and Segmenting High-Variance References from PDF Documents

This paper addresses the problem of extracting and segmenting references from PDF documents. The novelty of the presented approach lies in its capability to discover highly varying references mainly in terms of content, length and location in the document. Unlike existing works, the proposed method...

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Vydané v:	2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) s. 186 - 195
Hlavní autori:	Boukhers, Zeyd, Ambhore, Shriharsh, Staab, Steffen
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2019
Predmet:	Conditional Random Fields Random Forest Reference Extraction Reference Segmentation
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