Paper: Citation Resolution: A method for evaluating context-based citation recommendation systems

ACL ID P14-2059
Title Citation Resolution: A method for evaluating context-based citation recommendation systems
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Wouldn?t it be helpful if your text edi- tor automatically suggested papers that are relevant to your research? Wouldn?t it be even better if those suggestions were contextually relevant? In this paper we name a system that would accomplish this a context-based citation recommendation (CBCR) system. We specifically present Citation Resolution, a method for the eval- uation of CBCR systems which exclusively uses readily-available scientific articles. Exploiting the human judgements that are already implicit in available resources, we avoid purpose-specific annotation. We ap- ply this evaluation to three sets of methods for representing a document, based on a) the contents of the document, b) the sur- rounding contexts of citations to the doc- ument found in other documents, and c) a mixture...