Stop the war!
Остановите войну!
for scientists:
default search action
BibTeX record conf/gmds/Wiesner23
@inproceedings{DBLP:conf/gmds/Wiesner23, author = {Martin Wiesner}, editor = {Rainer R{\"{o}}hrig and Niels Grabe and Martin Haag and Ursula H{\"{u}}bner and Ulrich Sax and Carsten Oliver Schmidt and Martin Sedlmayr and Antonia Zapf}, title = {DE-Lemma: {A} Maximum-Entropy Based Lemmatizer for German Medical Text}, booktitle = {German Medical Data Sciences 2023 - Science. Close to People. - Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany}, series = {Studies in Health Technology and Informatics}, volume = {307}, pages = {189--195}, publisher = {{IOS} Press}, year = {2023}, url = {https://doi.org/10.3233/SHTI230712}, doi = {10.3233/SHTI230712}, timestamp = {Fri, 09 Feb 2024 13:53:22 +0100}, biburl = {https://dblp.org/rec/conf/gmds/Wiesner23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.