Schiller, Benjamin
Benjamin
Schiller
Gurevych, Iryna
Iryna
Gurevych
Daxenberger, Johannes
Johannes
Daxenberger
0000-0002-7385-5654
Training Data for Aspect-Controlled Neural Argument Generation
TU Darmstadt
2020
argument generation
aspect detection
controlled argument generation
TU Darmstadt
2020-05-07
2020-05-07
2020-05
en
Dataset
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2329
2005.00084
In Copyright
This collection holds (1) the argument aspect detection corpus, (2) the data to reproduce the training of the language models described in the paper, and (3) the arguments generated with both language models. The argument aspect detection corpus includes 5,032 arguments over eight controversial topics, annotated with aspects by crowdworkers.
DISCLAIMER: All material provided in the archives reddit_training_data.7z and cc_training_data.7z may be used for research purposes only. For all other material in this collection (namely argument_aspect_detection_v1.0.7z and generated_arguments.7z), this restriction does not apply. The user acknowledges and agrees that the data is provided on an “as-is” basis and that the licensor makes no representations or warranties of any kind.
DFG
GU798/25-1
Offenes Argument-Min
PTJ
03VP02540
ArgumenText