@inproceedings{0f6d39157f8e4c5182488e22aa08b29f,
title = "ECNU: Effective semantic relations classification without complicated features or multiple external corpora",
abstract = "This paper describes our approach to the automatic identification of semantic relations between nominals in English sentences. The basic idea of our strategy is to develop machine-learning classifiers which: (1) make use of class-independent features and classifier; (2) make use of a simple and effective feature set without high computational cost; (3) make no use of external annotated or unannotated corpus at all. At SemEval 2010 Task 8 our system achieved an F-measure of 75.43\% and a accuracy of 70.22\%.",
author = "Yuan Chent and Man Lan and Jian Su and Zhou, \{Zhi Min\} and Yu Xu",
note = "Publisher Copyright: {\textcopyright} 2010 Association for Computational Linguistics.; 5th International Workshop on Semantic Evaluation, SemEval 2010 ; Conference date: 15-07-2010 Through 16-07-2010",
year = "2010",
language = "英语",
series = "ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "226--229",
booktitle = "ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings",
address = "澳大利亚",
}