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