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pl_decode.html
Feb 21, 2018 - Visualisierung sprachlicher Daten mit R [Supplementary Material]
HTML - 31.7 KB - MD5: fa46271a3cf52cbed5d59136499bdbc4
Data
Data (base64 parts decoded)
pl2_decode.html
Feb 21, 2018 - Visualisierung sprachlicher Daten mit R [Supplementary Material]
HTML - 3.2 KB - MD5: 3d54345b044c2d401194bf0b53b78702
Data
Data (base64 parts decoded)
pl2.html
Feb 21, 2018 - Visualisierung sprachlicher Daten mit R [Supplementary Material]
HTML - 569.4 KB - MD5: 9d02a9eb6d02f5ea364e1d22d3f41629
Data
Original data file (incl. code (base64 encoded))
pl.html
Feb 21, 2018 - Visualisierung sprachlicher Daten mit R [Supplementary Material]
HTML - 597.9 KB - MD5: dcb1363982f5caecf4ef7a4e09a312a2
Data
Original data file (incl. code (base64 encoded))
Pitzler_Tabellen.xlsx
Apr 13, 2022 - Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
MS Excel Spreadsheet - 492.4 KB - MD5: 13bd1256a28ac9f14ce103cda5be9946
Pitzler Ergebnisse & Tabellen 1-3
Pitzler_Tabelle-3.pdf
Pitzler_Tabelle-3.pdf
Apr 13, 2022 - Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
Adobe PDF - 241.1 KB - MD5: 86941ca2cbee8e97386cc24d0f6a722d
Pitzler_Tabelle-2.pdf
Pitzler_Tabelle-2.pdf
Apr 13, 2022 - Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
Adobe PDF - 128.6 KB - MD5: d35fc2fc43893ba65b90b26e61d25215
Pitzler_Tabelle-1.pdf
Pitzler_Tabelle-1.pdf
Apr 13, 2022 - Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
Adobe PDF - 583.1 KB - MD5: 0482b4012935a34d5ed8e83ec9bd0fa0
Pitzler_Ergebnisse.pdf
Pitzler_Ergebnisse.pdf
Apr 13, 2022 - Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
Adobe PDF - 3.1 MB - MD5: 22117927fdf3f310aabfb9f5224fcf8f
pipelines.py
Jul 4, 2023 - Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Python Source Code - 36.7 KB - MD5: a2203dfe804c1e424c9d76f153cf8225
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