Summary of the paper
| Title | Identification of Technology Terms in Patents |
|---|---|
| Authors | Peter Anick, Marc Verhagen and James Pustejovsky |
| Abstract | Natural language analysis of patents holds promise for the development of tools designed to assist analysts in the monitoring of emerging technologies. One component of such tools is the identification of technology terms. We describe an approach to the discovery of technology terms using supervised machine learning and evaluate its performance on subsets of patents in three languages: English, German, and Chinese. |
| Topics | Information Extraction, Information Retrieval, Tools, Systems, Applications |
Full paper  |
Identification of Technology Terms in Patents |
| Bibtex | @InProceedings{ANICK14.701, author = {Peter Anick and Marc Verhagen and James Pustejovsky}, title = {Identification of Technology Terms in Patents}, 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} } |