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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Bibliographic Details

Published in:	2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) pp. 186 - 195
Main Authors:	Boukhers, Zeyd, Ambhore, Shriharsh, Staab, Steffen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2019
Subjects:	Conditional Random Fields Random Forest Reference Extraction Reference Segmentation
Online Access:	Get full text
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