@misc{schulz_document_2021,
	title = {Document {Classification} {German}},
	url = {https://live.european-language-grid.eu/catalogue/tool-service/7484},
	abstract = {The service classifies German texts into various topics. It was trained on book cover texts (blurbs) from the GermEval 2019 Shared Task 1 (Hierarchical Classification of Blurbs). The topic labels originate from the Random House book collection. See https://competitions.codalab.org/competitions/20139 for more information on the dataset.
Each output contains confidence levels for the various topics. Higher values correspond to higher confidence, so the topic with the highest score is the predicted choice.},
	urldate = {2021-09-01},
	publisher = {Deutsches Forschungszentrum für Künstliche Intelligenz},
	author = {Schulz, Konstantin},
	month = jul,
	year = {2021},
}

{"_id":"KCM27vp293SSCawCQ","bibbaseid":"schulz-documentclassificationgerman-2021","author_short":["Schulz, K."],"bibdata":{"bibtype":"misc","type":"misc","title":"Document Classification German","url":"https://live.european-language-grid.eu/catalogue/tool-service/7484","abstract":"The service classifies German texts into various topics. It was trained on book cover texts (blurbs) from the GermEval 2019 Shared Task 1 (Hierarchical Classification of Blurbs). The topic labels originate from the Random House book collection. See https://competitions.codalab.org/competitions/20139 for more information on the dataset. Each output contains confidence levels for the various topics. Higher values correspond to higher confidence, so the topic with the highest score is the predicted choice.","urldate":"2021-09-01","publisher":"Deutsches Forschungszentrum für Künstliche Intelligenz","author":[{"propositions":[],"lastnames":["Schulz"],"firstnames":["Konstantin"],"suffixes":[]}],"month":"July","year":"2021","bibtex":"@misc{schulz_document_2021,\n\ttitle = {Document {Classification} {German}},\n\turl = {https://live.european-language-grid.eu/catalogue/tool-service/7484},\n\tabstract = {The service classifies German texts into various topics. It was trained on book cover texts (blurbs) from the GermEval 2019 Shared Task 1 (Hierarchical Classification of Blurbs). The topic labels originate from the Random House book collection. See https://competitions.codalab.org/competitions/20139 for more information on the dataset.\nEach output contains confidence levels for the various topics. Higher values correspond to higher confidence, so the topic with the highest score is the predicted choice.},\n\turldate = {2021-09-01},\n\tpublisher = {Deutsches Forschungszentrum für Künstliche Intelligenz},\n\tauthor = {Schulz, Konstantin},\n\tmonth = jul,\n\tyear = {2021},\n}\n\n","author_short":["Schulz, K."],"key":"schulz_document_2021","id":"schulz_document_2021","bibbaseid":"schulz-documentclassificationgerman-2021","role":"author","urls":{"Paper":"https://live.european-language-grid.eu/catalogue/tool-service/7484"},"metadata":{"authorlinks":{}}},"bibtype":"misc","biburl":"https://api.zotero.org/users/912485/collections/VL2FMYT9/items?key=tJHJRX0dfdnwe3iuxbtyH4ht&format=bibtex&limit=100","dataSources":["nsAxma8Gv9c6fai5n"],"keywords":[],"search_terms":["document","classification","german","schulz"],"title":"Document Classification German","year":2021}