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4. Jakob, N., Gurevych, I.: Extracting opinion targets in a single- and cross-domain
setting with conditional random fields. In: Proceedings of the 2010 Conference on
Empirical Methods in Natural Language Processing, EMNLP 2010, pp. 1035-1045.
Association for Computational Linguistics, Stroudsburg (2010)
5. Li, S., Xue, Y., Wang, Z., Zhou, G.: Active learning for cross-domain sentiment
classification. In: Proceedings of the Twenty-Third International Joint Conference
on Artificial Intelligence, IJCAI 2013, pp. 2127-2133. AAAI Press (2013)
6. Qiu, G., Liu, B., Bu, J., Chen, C.: Opinion word expansion and target extraction
through double propagation. Comput. Linguist. 37(1), 9-27 (2011)
7. Seung, H.S., Opper, M., Sompolinsky, H.: Query by committee. In: Proceedings
of the Fifth Annual Workshop on Computational Learning Theory, COLT 1992,
pp. 287-294. ACM, New York (1992)
8. Shen, D., Zhang, J., Su, J., Zhou, G., Tan, C.-L.: Multi-criteria-based active learn-
ing for named entity recognition. In: Proceedings of the 42nd Annual Meeting on
Association for Computational Linguistics, ACL 2004. Association for Computa-
tional Linguistics, Stroudsburg (2004)
9. Tsai, A.C.-R., Wu, C.-E., Tsai, R.T.-H., Hsu, J.Y.J.: Building a concept-level senti-
ment dictionary based on commonsense knowledge. IEEE Intelligent Systems 28(2),
22-30 (2013)
10. Wang, B., Wang, H.: Bootstrapping Both Product Features and Opinion Words
from Chinese Customer Reviews with Cross-Inducing. In: Proceedings of the Third
International Joint Conference on Natural Language Processing: Volume-I (2008),
11. Yang, B., Cardie, C.: Extracting opinion expressions with semi-markov conditional
random fields. In: Proceedings of the 2012 Joint Conference on Empirical Methods
in Natural Language Processing and Computational Natural Language Learning,
EMNLP-CoNLL 2012, pp. 1335-1345. Association for Computational Linguistics,
Stroudsburg (2012)
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