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Dataset . 2023
Data sources: Datacite
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ZENODO
Dataset . 2023
Data sources: Datacite
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ZENODO
Dataset . 2023
Data sources: ZENODO
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ZENODO
Dataset . 2023
Data sources: Datacite
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ZENODO
Dataset . 2023
Data sources: ZENODO
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rafamestre/Multimodal-USElecDeb60To16: v1.0.0

Research datakeyboard_double_arrow_right Dataset 10 Feb 2023Publisher:Zenodo
Authors: Rafael Mestre; Stuart E. Middleton; Matt Ryan; Masood Gheasi; Timothy J. Norman; Jiatong Zhu;

doi: 10.5281/zenodo.7628464 , 10.5281/zenodo.7628465 , 10.5281/zenodo.7629904

rafamestre/Multimodal-USElecDeb60To16: v1.0.0

Abstract

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.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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