Paper: Context-Enhanced Citation Sentiment Detection

ACL ID N12-1073
Title Context-Enhanced Citation Sentiment Detection
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012

Sentiment analysis of citations in scientific pa- pers and articles is a new and interesting prob- lem which can open up many exciting new ap- plications in bibliographic search and biblio- metrics. Current work on citation sentiment detection focuses on only the citation sen- tence. In this paper, we address the problem of context-enhanced citation sentiment detec- tion. We present a new citation sentiment cor- pus which has been annotated to take the dom- inant sentiment in the entire citation context into account. We believe that this gold stan- dard is closer to the truth than annotation that looks only at the citation sentence itself. We then explore the effect of context windows of different lengths on the performance of a state- of-the-art citation sentiment detection system when us...