Abstract
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.- Anthology ID:
- L14-1027
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4316–4319
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf
- DOI:
- Cite (ACL):
- Yifan He and Adam Meyers. 2014. Corpus and Method for Identifying Citations in Non-Academic Text. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4316–4319, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Corpus and Method for Identifying Citations in Non-Academic Text (He & Meyers, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf