@inproceedings{e7b729fa55b04900b8618aecb2636890,
title = "TeMoCo-Doc: A visualization for supporting temporal and contextual analysis of dialogues and associated documents",
abstract = "A common task in a number of application areas is to create textual documents based on recorded audio data. Visualizations designed to support such tasks require linking temporal audio data with contextual data contained in the resulting documents. In this paper, we present a tool for the visualization of temporal and contextual links between recorded dialogues and their summary documents. ",
keywords = "Assessment of medical communication, contextual visualization, speech visualization, temporal mosaics, temporal visualization",
author = "Shane Sheehan and Saturnino Luz and Pierre Albert and Masood Masoodian",
note = "Funding Information: This paper is supported by European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 825153, project EMBEDDIA (Cross-Lingual Embeddings for Less-Represented Languages in European News Media). The results of this paper reflects only the author{\textquoteright}s view and the Commission is not responsible for any use that may be made of the information it contains. Pierre Albert has been funded though the INCA project. We thank the INCA project members in Ireland for granting us access to the trainee data. Publisher Copyright: {\textcopyright} 2020 Owner/Author. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 International Conference on Advanced Visual Interfaces, AVI 2020 ; Conference date: 28-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "28",
doi = "10.1145/3399715.3399956",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "ACM Association for Computing Machinery",
pages = "1--3",
editor = "Genny Tortora and Giuliana Vitiello and Marco Winckler",
booktitle = "Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020",
}