@inproceedings{79b75074168242fcad6dd22b3bbc9aa0,
title = "Semi-supervised Classification of Twitter Messages for Organization Name Disambiguation",
abstract = "In this paper, we probe the problem of organization name disambiguation on twitter messages. This task is challenging due to the fact of lacking sufficient information in a tweet message. Instead of conventional methods based on mining external information from web sources to enrich information about organization, we propose to mine the relationship among tweets in data set to utilize context information for disambiguation. With a small scale of labeled tweets, we propose LP-based and TSVM-based semi-supervised methods to classify tweets. We aim to mine both related and non-related information for a given organization. The experiments on WePS-3 show that proposed methods are effective.",
author = "Shu Zhang and Jianwei Wu and Dequan Zheng and Yao Meng and Hao Yu",
note = "Publisher Copyright: {\textcopyright} IJCNLP 2013.All right reserved.; 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 ; Conference date: 14-10-2013",
year = "2013",
language = "英语",
series = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",
publisher = "Asian Federation of Natural Language Processing",
pages = "869--873",
editor = "Ruslan Mitkov and Park, \{Jong C.\}",
booktitle = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",
}