Corpus and Method for Identifying Citations in Non-Academic Text (Open Access, Publisher's Version)
New York University New York United States
Pagination or Media Count:
We attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a more ad-hoc manner. We manually annotate citations in 50 patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non local information. Our best system achieves 0.83 F-score on 5-fold cross validation.
- Information Science