Citation segmentation from sparse & noisy data: A joint inference approach with Markov logic networks-Reference-Cited by-同舟云学术

Citation segmentation from sparse & noisy data: A joint inference approach with Markov logic networks

Published:2014-12-08 Issue:2 Volume:31 Page:333-356
ISSN:2055-7671
Container-title:Digital Scholarship in the Humanities
language:en
Short-container-title:Digital Scholarship Humanities

Author:

Heckmann Dustin,Frank Anette,Arnold Matthias,Gietz Peter,Roth Christian

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Link

http://academic.oup.com/dsh/article-pdf/31/2/333/7451151/fqu061.pdf

Reference35 articles.

1. Rule-based autonomous citation mining with TIERL;Afzal;Journal of Digital Information Management,2010

2. Besagni D Belaid A . Proceedings of the First International Workshop on Document Image Analysis for Libraries, DIAL’04. Palo Alto, CA; 2004. Citation recognition for scientific publications in digital libraries; p. 244-52.

3. Bia A Malonda J Botella F . A multilingual markup translation web-service - an entry level solution to internationalize XML markup vocabularies. In: Cordeiro J A M , editors. WEBIST (1). 2006. INSTICC Press, pp. 63–68. http://dblp.uni-trier.de/db/conf/webist/webist2006-1.html#BiaMB06 (accessed 14 July 2013).

4. Casinius S Sporleder C . Proceedings of EMNLP-CoNLL 2007. Prague: Czech Republic; 2007. Bootstrapping Information Extraction from Field Books; p. 827-36.

5. A Coefficient of Agreement for Nominal Scales

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Approaches for Entity Extraction from Citation Strings;Lecture Notes in Electrical Engineering;2023

2. Joint Inference for End-to-end Relation Extraction;Investigations in Entity Relationship Extraction;2022-10-18

3. Deep Reference Mining From Scholarly Literature in the Arts and Humanities;Frontiers in Research Metrics and Analytics;2018-07-13

4. End-to-End Relation Extraction Using Markov Logic Networks;Computational Linguistics and Intelligent Text Processing;2018