International Conference on Weblogs and Social Media

Recovering Implicit Thread Structure in Newsgroup Style Conversations

author: Yi-Chia Wang, School of Computer Science, Carnegie Mellon University
coauthor: William Cohen, Carnegie Mellon University
coauthor: Mahesh Joshi, Language Technologies Institute, Carnegie Mellon University
coauthor: Carolyn Rosé, Language Technologies Institute, Carnegie Mellon University

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*Slides*
0:00	Recovering Implicit Thread Structure in Newsgroup Style Conversations
0:27	Taking Advantage of Thread Structure
0:54	Discussion Forums and Thread Structure
2:23	LegSim Corpus (1)
3:12	LegSim Corpus (2)
3:58	Goal of Thread Recovery Task
5:46	Gold Standard of Thread Structure
7:01	Two Baselines for Thread Recovery (1)
8:32	Two Baselines for Thread Recovery (2)
8:48	Combinations of Time and Similarity (1)
9:33	Combinations of Time and Similarity (2)
9:49	Combinations of Time and Similarity (3)
10:26	Combinations of Time and Similarity (4)
10:44	Evaluation Metrics
10:54	Effect of Tuning Similarity or Time Thresholds
11:59	Evaluation for Each Approach
12:41	Threads of Different Lengths
13:51	Different Average Message Lengths
15:26	Example
17:06	Contributions
17:52	Current Work
18:46	Question?

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