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hedge_detection

Hedge detection

Hedge detection involves identifying vague or ambiguous and unsupported claims in text. Hedges could be used to mislead the audience or may simply reflect bad writing skills or the lack of supporting arguments to the author's claims.

Research in hedge detection is considered in its infancy. With early works by Friedman et al in 1994 and Light et al in 2004.

To Do (Internal Use)
Install:
1. SERVER AND ZOTERO PLUG-IN
2. WORKBENCH
3. ZIGZAG
4. CLUSTER (one shared on Beocat)

5. COMMUNITY HUB

C Friedman, P O Alderson, J H Austin, J J Cimino, and S B Johnson A general natural-language text processor for clinical radiology. J Am Med Inform Assoc. 1994 Mar–Apr?; 1(2): 161–174. PMCID: PMC116194

Viola Ganter and Michael Strube: Finding hedges by chasing weasels: Hedge detection using wikipedia tags and shallow linguistic features. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 173-176, Suntec, Singapore, August 2009. Association for Computational Linguistics.


Created by welshamy. Last Modification: Thursday 18 of February, 2010 20:01:13 CST by welshamy.

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