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2001.04809
Cited By

Detecting depression in dyadic conversations with multimodal narratives
and visualizations

v1v2 (latest)

Detecting depression in dyadic conversations with multimodal narratives and visualizations

13 January 2020

ArXiv (abs)PDF HTML

Papers citing "Detecting depression in dyadic conversations with multimodal narratives and visualizations"

3 / 3 papers shown

An empirical user-study of text-based nonverbal annotation systems for
human-human conversations

An empirical user-study of text-based nonverbal annotation systems for human-human conversationsSocial Science Research Network (SSRN), 2021

138

3

0

30 Dec 2021

Transfer Learning in Conversational Analysis through Reusing
Preprocessing Data as Supervisors

Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors

235

0

0

02 Dec 2021

MONAH: Multi-Modal Narratives for Humans to analyze conversations

MONAH: Multi-Modal Narratives for Humans to analyze conversationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021

Silas C. R. Taylor

179

7

0

18 Jan 2021

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