Weights for Aspect-Controlled Neural Argument Generation

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Anzahl der Dateien: 6
reddit_seqlen256_v1.7z.001 (Weights of Argument Generation Model (Reddit), Part 1) (3.808GB) 
reddit_seqlen256_v1.7z.002 (Weights of Argument Generation Model (Reddit), Part 2) (3.808GB) 
reddit_seqlen256_v1.7z.003 (Weights of Argument Generation Model (Reddit), Part 3) (3.215GB) 
cc_seqlen256_v1.7z.003 (Weights of Argument Generation Model (CC), Part 3) (3.225GB) 
cc_seqlen256_v1.7z.002 (Weights of Argument Generation Model (CC), Part 2) (3.808GB) 
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Beschreibung

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.
 
 

Schlagwort

argument generation;controlled argument generation;aspect detection

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Zugehörige Drittmittelprojekte

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

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