Making large-scale support vector machine learning practical
Advances in kernel methods
A note on Platt's probabilistic outputs for support vector machines
Machine Learning
Relationship identification for social network discovery
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Extracting social power relationships from natural language
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Detecting power relations from written dialog
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Project roles in the apache software foundation: a dataset
Proceedings of the 10th Working Conference on Mining Software Repositories
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We analyze overt displays of power (ODPs) in written dialogs. We present an email corpus with utterances annotated for ODP and present a supervised learning system to predict it. We obtain a best cross validation F-measure of 65.8 using gold dialog act features and 55.6 without using them.