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Weights for Aspect-Controlled Neural Argument Generation

Files

reddit_seqlen256_v1.7z.001 (Weights of Argument Generation Model (Reddit), Part 1) (3.81 GB)

reddit_seqlen256_v1.7z.002 (Weights of Argument Generation Model (Reddit), Part 2) (3.81 GB)

reddit_seqlen256_v1.7z.003 (Weights of Argument Generation Model (Reddit), Part 3) (3.22 GB)

cc_seqlen256_v1.7z.003 (Weights of Argument Generation Model (CC), Part 3) (3.23 GB)

cc_seqlen256_v1.7z.002 (Weights of Argument Generation Model (CC), Part 2) (3.81 GB)

Date

2020-05-07

Type

Authors

Schiller, Benjamin
Daxenberger, Johannes

Gurevych, Iryna

Description

This collection includes trained weights for the controlled argument generation models which were fine-tuned on Common-Crawl and Reddit-Comments dumps. For more information, please refer to the paper and the GitHub repository linked in the paper. DISCLAIMER: All weights provided as downloads may be used for research purposes only. 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.

Keywords

argument generation, controlled argument generation, aspect detection

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2328

Related Resources

Is Cited By

https://arxiv.org/abs/2005.00084

Project(s)

PTJ | 03VP02540 | ArgumenText
DFG | GU798/25-1 | Offenes Argument-Min

Collections

Argument Mining

License

Except where otherwise noted, this license is described as In Copyright