@article {19684,
	title = {Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations},
	journal = {Human Language Technologies: The 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
	year = {2013},
	month = {2013/00/01},
	abstract = {Abstract We introduce an efficient, interactive framework{\textemdash}Argviz{\textemdash}for experts to analyze the dynamic topical structure of multi-party conversations. Users inject their needs, expertise, and insights into models via iterative topic refinement. The refined topics feed into a ...},
	url = {https://www.aclweb.org/anthology-new/N/N13/N13-3.pdf$\#$page=42},
	author = {Nguyen, V A and Hu, Y and Jordan Boyd-Graber}
}
