@inproceedings{cascante-bonilla-etal-2019-chat,
title = "Chat-crowd: A Dialog-based Platform for Visual Layout Composition",
author = "Cascante-Bonilla, Paola and
Yin, Xuwang and
Ordonez, Vicente and
Feng, Song",
editor = "Ammar, Waleed and
Louis, Annie and
Mostafazadeh, Nasrin",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-4024",
doi = "10.18653/v1/N19-4024",
pages = "138--142",
abstract = "In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions. Chat-crowd supports multiple agents with two conversational roles: agents who play the role of a designer are in charge of placing objects in an editable canvas according to instructions or commands issued by agents with a director role. The system can be integrated with crowdsourcing platforms for both synchronous and asynchronous data collection and is equipped with comprehensive quality controls on the performance of both types of agents. We expect that this system will be useful to build multimodal goal-oriented dialog tasks that require spatial and geometric reasoning.",
}
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<abstract>In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions. Chat-crowd supports multiple agents with two conversational roles: agents who play the role of a designer are in charge of placing objects in an editable canvas according to instructions or commands issued by agents with a director role. The system can be integrated with crowdsourcing platforms for both synchronous and asynchronous data collection and is equipped with comprehensive quality controls on the performance of both types of agents. We expect that this system will be useful to build multimodal goal-oriented dialog tasks that require spatial and geometric reasoning.</abstract>
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%0 Conference Proceedings
%T Chat-crowd: A Dialog-based Platform for Visual Layout Composition
%A Cascante-Bonilla, Paola
%A Yin, Xuwang
%A Ordonez, Vicente
%A Feng, Song
%Y Ammar, Waleed
%Y Louis, Annie
%Y Mostafazadeh, Nasrin
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F cascante-bonilla-etal-2019-chat
%X In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions. Chat-crowd supports multiple agents with two conversational roles: agents who play the role of a designer are in charge of placing objects in an editable canvas according to instructions or commands issued by agents with a director role. The system can be integrated with crowdsourcing platforms for both synchronous and asynchronous data collection and is equipped with comprehensive quality controls on the performance of both types of agents. We expect that this system will be useful to build multimodal goal-oriented dialog tasks that require spatial and geometric reasoning.
%R 10.18653/v1/N19-4024
%U https://aclanthology.org/N19-4024
%U https://doi.org/10.18653/v1/N19-4024
%P 138-142
Markdown (Informal)
[Chat-crowd: A Dialog-based Platform for Visual Layout Composition](https://aclanthology.org/N19-4024) (Cascante-Bonilla et al., NAACL 2019)
ACL
- Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez, and Song Feng. 2019. Chat-crowd: A Dialog-based Platform for Visual Layout Composition. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 138–142, Minneapolis, Minnesota. Association for Computational Linguistics.