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1
Coreference in Universal Dependencies 1.0 (CorefUD 1.0)
Nedoluzhko, Anna; Novák, Michal; Popel, Martin. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
BASE
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2
Shallow discourse parsing for German
Bourgonje, Peter [Verfasser]; Stede, Manfred [Akademischer Betreuer]. - Potsdam : Universität Potsdam, 2021
DNB Subject Category Language
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3
Shallow discourse parsing for German
Stede, Manfred (Akademischer Betreuer); Bourgonje, Peter; Kosseim, Leila (Akademischer Betreuer). - Potsdam, 2021
BLLDB
UB Frankfurt Linguistik
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4
Topics and subjects in German newspaper editorials: a corpus study
In: Deutsche Gesellschaft für Sprachwissenschaft / Jahrestagung <39., 2017, Saarbrücken>. Information structuring in discourse. - Leiden : Brill (2021), 86-111
BLLDB
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5
Penn Discourse Treebank Version 2.0 - German Translation
Sluyter-Gaethje, Henny; Bourgonje, Peter; Stede, Manfred. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
BASE
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6
Penn Discourse Treebank Version 2.0 - German Translation ...
Sluyter-Gaethje, Henny; Bourgonje, Peter; Stede, Manfred. - : Linguistic Data Consortium, 2021
BASE
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7
Shallow discourse parsing for German ; Shallow Discourse Parsing für Deutsch
Bourgonje, Peter (Dr.). - 2021
BASE
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8
Exploiting a lexical resource for discourse connective disambiguation in German ...
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9
Curation Technologies for a Cultural Heritage Archive: "Project Tongilbu" ...
Abstract: We are developing a platform for generic curation technologies, using various NLP procedures, that is specifically targeted at, but not limited to, document collections that are too large for humans to (manually) read and go through. The aim then is to provide prototypical NLP tools like NER, Entity Linking, clustering and summarization in order to support rapid exploration of a data set. In this particular submission, the data set in question is the result of "Project Tongilbu”, a report funded by the Korean Ministry of Re-unification, on the unification of East- and West-Germany in the 1990’s. The majority of the content in this data set is in German, with small parts in Korean. With the collection being a set of PDF files, we first apply OCR to extract machine-readable text. Focusing on German, we then apply an NER model trained on Wikipedia data, retrieve URIs of recognized entities in the GND (Gemeinsame Normdatei, a German database of entities with additional information), perform temporal analysis and ...
Keyword: Korean; NLP
URL: https://dx.doi.org/10.5281/zenodo.3404254
https://zenodo.org/record/3404254
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10
Curation Technologies for a Cultural Heritage Archive: "Project Tongilbu" ...
BASE
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11
Towards the Automatic Classification of Offensive Language and Related Phenomena in German Tweets
In: http://hw.oeaw.ac.at/8435-5 (2018)
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