arXiv Open Access 2017

Reference String Extraction Using Line-Based Conditional Random Fields

Martin Körner

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Abstrak

The extraction of individual reference strings from the reference section of scientific publications is an important step in the citation extraction pipeline. Current approaches divide this task into two steps by first detecting the reference section areas and then grouping the text lines in such areas into reference strings. We propose a classification model that considers every line in a publication as a potential part of a reference string. By applying line-based conditional random fields rather than constructing the graphical model based on the individual words, dependencies and patterns that are typical in reference sections provide strong features while the overall complexity of the model is reduced.

Topik & Kata Kunci

cs.IR cs.DL

Penulis (1)

Martin Körner

Format Sitasi

APA MLA BibTeX

Körner, M. (2017). Reference String Extraction Using Line-Based Conditional Random Fields. https://arxiv.org/abs/1705.08154

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓