Paper: Purpose and Polarity of Citation: Towards NLP-based Bibliometrics

ACL ID N13-1067
Title Purpose and Polarity of Citation: Towards NLP-based Bibliometrics
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

Bibliometric measures are commonly used to estimate the popularity and the impact of pub- lished research. Existing bibliometric mea- sures provide ?quantitative? indicators of how good a published paper is. This does not nec- essarily reflect the ?quality? of the work pre- sented in the paper. For example, when h- index is computed for a researcher, all incom- ing citations are treated equally, ignoring the fact that some of these citations might be neg- ative. In this paper, we propose using NLP to add a ?qualitative? aspect to biblometrics. We analyze the text that accompanies citations in scientific articles (which we term citation context). We propose supervised methods for identifying citation text and analyzing it to de- termine the purpose (i.e. author intention) and the polarity (...