Fine-tuned model weights for Stance Detection Benchmark System

This collection includes model weights (BERT-based), fine-tuned in a multi-task setting on 10 heterogeneous stance detection datasets. For more information, please refer to the paper and the GitHub repository linked in the paper. DISCLAIMER: 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.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2848
Related Identifier https://doi.org/10.1007/s13218-021-00714-w
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/2848
Provenance
Creator Schiller, Benjamin; Daxenberger, Johannes; Gurevych, Iryna
Publisher TU Darmstadt
Contributor TU Darmstadt
Publication Year 2019
Rights in Copyright; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Other
Format application/zip
Discipline Other