Network Motifs May Improve Quality Assessment of Text Documents

Thomas Arnold, Karsten Weihe


Anthology ID:
W16-1404
Volume:
Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing
Month:
June
Year:
2016
Address:
San Diego, CA, USA
Editors:
Tanmoy Chakraborty, Martin Riedl, V.G.Vinod Vydiswaran
Venue:
TextGraphs
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
20–28
Language:
URL:
https://aclanthology.org/W16-1404
DOI:
10.18653/v1/W16-1404
Bibkey:
Cite (ACL):
Thomas Arnold and Karsten Weihe. 2016. Network Motifs May Improve Quality Assessment of Text Documents. In Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing, pages 20–28, San Diego, CA, USA. Association for Computational Linguistics.
Cite (Informal):
Network Motifs May Improve Quality Assessment of Text Documents (Arnold & Weihe, TextGraphs 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/W16-1404.pdf