2013
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Topical Positioning: A New Method for Predicting Opinion Changes in Conversation
Ching-Sheng Lin
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Samira Shaikh
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Jennifer Stromer-Galley
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Jennifer Crowley
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Tomek Strzalkowski
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Veena Ravishankar
Proceedings of the Workshop on Language Analysis in Social Media
2012
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Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language
Ting Liu
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Samira Shaikh
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Tomek Strzalkowski
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Aaron Broadwell
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Jennifer Stromer-Galley
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Sarah Taylor
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Umit Boz
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Xiaoai Ren
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Jingsi Wu
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
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.
2011
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Multi-Modal Annotation of Quest Games in Second Life
Sharon Gower Small
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Jennifer Strommer-Galley
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Tomek Strzalkowski
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
2010
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Modeling Socio-Cultural Phenomena in Discourse
Tomek Strzalkowski
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George Aaron Broadwell
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Jennifer Stromer-Galley
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Samira Shaikh
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Sarah Taylor
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Nick Webb
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)
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MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse
Samira Shaikh
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Tomek Strzalkowski
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Aaron Broadwell
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Jennifer Stromer-Galley
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Sarah Taylor
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Nick Webb
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a larger project to develop computational models of social phenomena such as agenda control, influence, and leadership in on-line interactions. Such models will help capturing the dialogue dynamics that are essential for developing, among others, realistic human-machine dialogue systems, including autonomous virtual chat agents. In this paper we describe data collection method used and the characteristics of the initial dataset of English chat. We have devised a multi-tiered collection process in which the subjects start from simple, free-flowing conversations and progress towards more complex and structured interactions. In this paper, we report on the first two stages of this process, which were recently completed. The third, large-scale collection effort is currently being conducted. All English dialogue has been annotated at four levels: communication links, dialogue acts, local topics and meso-topics. Some details of these annotations will be discussed later in this paper, although a full description is impossible within the scope of this article.