@inproceedings{liu-etal-2012-extending,
title = "Extending the {MPC} corpus to {C}hinese and {U}rdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language",
author = "Liu, Ting and
Shaikh, Samira and
Strzalkowski, Tomek and
Broadwell, Aaron and
Stromer-Galley, Jennifer and
Taylor, Sarah and
Boz, Umit and
Ren, Xiaoai and
Wu, Jingsi",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/825_Paper.pdf",
pages = "2868--2873",
abstract = "In this paper, we report our efforts in building a multi-lingual multi-party online chat corpus in order to develop a firm understanding in a set of social constructs such as agenda control, influence, and leadership as well as to computationally model such constructs in online interactions. These automated models will help capture the dialogue dynamics that are essential for developing, among others, realistic human-machine dialogue systems, including autonomous virtual chat agents. In this paper, we first introduce our experiment design and data collection method in Chinese and Urdu, and then report on the current stage of our data collection. We annotated the collected corpus on four levels: communication links, dialogue acts, local topics, and meso-topics. Results from the analyses of annotated data on different languages indicate some interesting phenomena, which are reported in this paper.",
}
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%0 Conference Proceedings
%T Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language
%A Liu, Ting
%A Shaikh, Samira
%A Strzalkowski, Tomek
%A Broadwell, Aaron
%A Stromer-Galley, Jennifer
%A Taylor, Sarah
%A Boz, Umit
%A Ren, Xiaoai
%A Wu, Jingsi
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F liu-etal-2012-extending
%X In this paper, we report our efforts in building a multi-lingual multi-party online chat corpus in order to develop a firm understanding in a set of social constructs such as agenda control, influence, and leadership as well as to computationally model such constructs in online interactions. These automated models will help capture the dialogue dynamics that are essential for developing, among others, realistic human-machine dialogue systems, including autonomous virtual chat agents. In this paper, we first introduce our experiment design and data collection method in Chinese and Urdu, and then report on the current stage of our data collection. We annotated the collected corpus on four levels: communication links, dialogue acts, local topics, and meso-topics. Results from the analyses of annotated data on different languages indicate some interesting phenomena, which are reported in this paper.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/825_Paper.pdf
%P 2868-2873
Markdown (Informal)
[Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language](http://www.lrec-conf.org/proceedings/lrec2012/pdf/825_Paper.pdf) (Liu et al., LREC 2012)
ACL
- Ting Liu, Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell, Jennifer Stromer-Galley, Sarah Taylor, Umit Boz, Xiaoai Ren, and Jingsi Wu. 2012. Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2868–2873, Istanbul, Turkey. European Language Resources Association (ELRA).