rafamestre/Multimodal-USElecDeb60To16: v1.0.0
Authors/Creators
- 1. University of Southampton
Description
Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates", published at the Findings of the 17th conference on European chapter of the Association for Computational Linguistics (EACL) in 2023.
This is the version that contains the audio features and the artificial voices. If you want a (lighter) version without those large files, check out the first release v.1.0.0 with DOI 10.5281/zenodo.7628465.
Files
Multimodal-USElecDeb60to16.zip
Additional details
Related works
- Is supplement to
- https://github.com/rafamestre/Multimodal-USElecDeb60To16/tree/v1.0.0 (URL)