Published November 11, 2020
| Version v1
Dataset
Open
TAZ-QA-Corpus
Creators
-
1.
University of Tübingen
Description
Questions and answer phrases for sentences from newspaper corpus.
Automatically generated questions and answer phrases for sentences from the German newspaper TAZ.
Grammatical sentence as annotation unit; 5.24 million sentence-question-answer triples
Other
Research carried out in work package A04 of the SFB 833.
Files
CMDI.xml
Files
(1.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:c73c3be9dd840f8dd2556e6954166b4e
|
23.4 kB | Preview Download |
|
md5:3aa23008d1af010d8de60f118c2008cc
|
1.5 GB | Download |
Additional details
Related works
- References
- Text: https://aclanthology.org/2020.coling-main.509/ (URL)