Summary of the paper
| Title | Corpus and Method for Identifying Citations in Non-Academic Text |
|---|---|
| Authors | Yifan He and Adam Meyers |
| 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. |
| Topics | Information Extraction, Information Retrieval, Corpus (Creation, Annotation, etc.) |
Full paper  |
Corpus and Method for Identifying Citations in Non-Academic Text |
| Bibtex | @InProceedings{HE14.1036, author = {Yifan He and Adam Meyers}, title = {Corpus and Method for Identifying Citations in Non-Academic Text}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |