Semi-Supervised Learning Methods for Patent Classification Using Search-Optimized Graph-Based Representations.

@inproceedings{kotliarova-2024-semisupervised, author = {Ekaterina Kotliarova and Sebastian Bj\"{o}rkqvist}, editor = {Hidir Aras and Ralf Krestel and Linda Andersson and Florina Piroi and Allan Hanbury and Dean Alderucci}, title = {{Semi-Supervised Learning Methods for Patent Classification Using Search-Optimized Graph-Based Representations}}, 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 = {18--24}, publisher = {CEUR-WS.org}, year = {2024}, url = {https://ceur-ws.org/Vol-3775/paper4.pdf} }