Automatic Identification of Patent Claim Types: Enhancing Efficiency in Patent Analysis.
Rima Dessi|Hidir Aras|Mark Prince
| Anthology ID: | DBLP:conf/patentsemtech/DessiAP24 |
|---|---|
| Volume: | Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 28th, 2024. |
| Year: | 2024 |
| Venue: | Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) |
| Publisher: | CEUR-WS.org |
| Pages: | 67-71 |
| URL: | https://ceur-ws.org/Vol-3775/paper13.pdf |
| DBLP: | conf/patentsemtech/DessiAP24 |
| BibTeX: |
@inproceedings{dessi-2024-automatic,
author = {Rima Dessi and
Hidir Aras and
Mark Prince},
editor = {Hidir Aras and
Ralf Krestel and
Linda Andersson and
Florina Piroi and
Allan Hanbury and
Dean Alderucci},
title = {{Automatic Identification of Patent Claim Types: Enhancing Efficiency in Patent Analysis}},
booktitle = {{Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 28th, 2024}},
series = {CEUR Workshop Proceedings},
volume = {3775},
pages = {67--71},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3775/paper13.pdf}
}