@inproceedings{6e6e25bd66c04b459ba3c208682eef29,
title = "SINNET: Social Interaction Network Extractor from Text",
abstract = "In this paper we present a demo of our system: Social Interaction Network Extractor from Text (SINNET). SINNET is able to extract a social network from unstructured text. Nodes in the network are people and links are social events.",
author = "Apoorv Agarwal and Anup Kotalwar and Jiehan Zheng and Owen Rambow",
note = "Publisher Copyright: {\textcopyright} 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings: System Demonstrations. All rights reserved.; 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 ; Conference date: 14-10-2013",
year = "2013",
language = "English",
series = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings: System Demonstrations",
publisher = "Asian Federation of Natural Language Processing",
pages = "33--36",
editor = "Kentaro Torisawa and Hang Li",
booktitle = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings",
}