Commit abf15102 authored by Marcus Poeckelmann's avatar Marcus Poeckelmann 😸
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Flashtalk 9 ergänzt.

parent ab604d82
...@@ -64,9 +64,9 @@ proteins, termed transcription activator-like effectors (TALEs). Our approach Pr ...@@ -64,9 +64,9 @@ proteins, termed transcription activator-like effectors (TALEs). Our approach Pr
8. **Maximilian Konzack**, Datenbanken und Informationssysteme / iDiv 8. **Maximilian Konzack**, Datenbanken und Informationssysteme / iDiv
**Information extraction from ecological publications** **Information extraction from ecological publications**
Biodiversity datasets are increasingly deposited either as supplementary material in an article or in online repositories. As more and more scientific papers are digitally published, we face new challenges to find, access, integrate and reuse publications and their associated datasets. In this talk, I will talk about methodologies in which I employ text classification and geoparsing to tackle some of these problems. Biodiversity datasets are increasingly deposited either as supplementary material in an article or in online repositories. As more and more scientific papers are digitally published, we face new challenges to find, access, integrate and reuse publications and their associated datasets. In this talk, I will talk about methodologies in which I employ text classification and geoparsing to tackle some of these problems.
9. **Name**, Arbeitsgruppe 9. **Marcus Pöckelmann**, Informatik in den Geisteswissenschaften
**Vortragstitel** **Collation and analysis of Hebrew text witnesses**
Inhaltliche Kurzbeschreibung in 2-3 Sätzen, wenn möglich in Englisch. The Hebrew treatise Keter Shem Ṭov (“Crown of the Good Name”) composed in the 13th century is one of the most important introductory texts into the Kabbalah, testified by about 100 differing manuscripts. In our current project, an interdisciplinary team prepares a scholarly edition of this work with the aid of our tool LERA that has to be adopted for this task. The focus here is on the enormous number of text witnesses, which poses a challenge for both the underlying algorithms and the user interface of LERA.
10. **Name**, Arbeitsgruppe 10. **Name**, Arbeitsgruppe
**Vortragstitel** **Vortragstitel**
Inhaltliche Kurzbeschreibung in 2-3 Sätzen, wenn möglich in Englisch. Inhaltliche Kurzbeschreibung in 2-3 Sätzen, wenn möglich in Englisch.
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