-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R.K. Ando and T. Zhang. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. The Journal of Machine Learning Research, 6:1817-1853.
-
(2005)
The Journal of Machine Learning Research
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
4
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
J. Blitzer, M. Dredze, and F. Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, page 440- 447.
-
(2007)
ACL
, pp. 440-447
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
5
-
-
84890506043
-
Adaptation of maximum entropy classifier: Little data can help a lot
-
C. Chelba and A. Acero. 2004. Adaptation of maximum entropy classifier: Little data can help a lot. In EMNLP.
-
(2004)
EMNLP
-
-
Chelba, C.1
Acero, A.2
-
6
-
-
84863349934
-
Translated learning: Transfer learning across different feature spaces
-
W. Dai, Y. Chen, G.R. Xue, Q. Yang, and Y. Yu. 2008. Translated learning: Transfer learning across different feature spaces. In NIPS, pages 353-360.
-
(2008)
NIPS
, pp. 353-360
-
-
Dai, W.1
Chen, Y.2
Xue, G.R.3
Yang, Q.4
Yu, Y.5
-
7
-
-
71149083696
-
Eigentransfer: A unified framework for transfer learning
-
W. Dai, O. Jin, G.R. Xue, Q. Yang, and Y. Yu. 2009. Eigentransfer: a unified framework for transfer learning. In ICML, pages 193-200.
-
(2009)
ICML
, pp. 193-200
-
-
Dai, W.1
Jin, O.2
Xue, G.R.3
Yang, Q.4
Yu, Y.5
-
9
-
-
84860513476
-
Frustratingly easy domain adaptation
-
H. Daumé. 2007. Frustratingly easy domain adaptation. In ACL, pages 256-263.
-
(2007)
ACL
, pp. 256-263
-
-
Daumé, H.1
-
10
-
-
84860538689
-
Instance weighting for domain adaptation in NLP
-
J. Jiang and C.X. Zhai. 2007. Instance weighting for domain adaptation in NLP. In ACL, pages 264-271.
-
(2007)
ACL
, pp. 264-271
-
-
Jiang, J.1
Zhai, C.X.2
-
11
-
-
33646859933
-
Sentiment classification of movie reviews using contextual valence shifters
-
DOI 10.1111/j.1467-8640.2006.00277.x
-
A. Kennedy and D. Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22(2):110-125. (Pubitemid 43787303)
-
(2006)
Computational Intelligence
, vol.22
, Issue.2
, pp. 110-125
-
-
Kennedy, A.1
Inkpen, D.2
-
12
-
-
79958248245
-
Employing personal/impersonal views in supervised and semi-supervised sentiment classification
-
S. Li, C.R. Huang, G. Zhou, and S.Y.M. Lee. 2010. Employing personal/impersonal views in supervised and semi-supervised sentiment classification. In ACL, pages 414-423.
-
(2010)
ACL
, pp. 414-423
-
-
Li, S.1
Huang, C.R.2
Zhou, G.3
Lee, S.Y.M.4
-
15
-
-
84860520895
-
Structured models for fine-to-coarse sentiment analysis
-
Ryan McDonald, Kerry Hannan, Tyler Neylon, Mike Wells, and Jeff Reynar. 2007. Structured models for fine-to-coarse sentiment analysis. In ACL, pages 432- 439.
-
(2007)
ACL
, pp. 432-439
-
-
McDonald, R.1
Hannan, K.2
Neylon, T.3
Wells, M.4
Reynar, J.5
-
17
-
-
77954584149
-
Cross-domain sentiment classification via spectral feature alignment
-
S.J. Pan, X. Ni, J.T. Sun, Q. Yang, and Z. Chen. 2010. Cross-domain sentiment classification via spectral feature alignment. In Proceedings of the 19th international conference on World Wide Web (WWW), pages 751-760.
-
(2010)
Proceedings of the 19th International Conference on World Wide Web (WWW)
, pp. 751-760
-
-
Pan, S.J.1
Ni, X.2
Sun, J.T.3
Yang, Q.4
Chen, Z.5
-
18
-
-
85141280473
-
A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
-
Bo Pang and Lillian Lee. 2004. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In ACL, page 271-278.
-
(2004)
ACL
, pp. 271-278
-
-
Pang, B.1
Lee, L.2
-
19
-
-
85141803251
-
Thumbs up?: Sentiment classification using machine learning techniques
-
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In EMNLP, pages 79-86.
-
(2002)
EMNLP
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
20
-
-
84862293242
-
Supervised and unsupervised PCFG adaptation to novel domains
-
B. Roark and M. Bacchiani. 2003. Supervised and unsupervised PCFG adaptation to novel domains. In NAACL-HLT, pages 126-133.
-
(2003)
NAACL-HLT
, pp. 126-133
-
-
Roark, B.1
Bacchiani, M.2
-
21
-
-
78049352050
-
Predictive distribution matching SVM for multi-domain learning
-
C.W. Seah, I. Tsang, Y.S. Ong, and K.K. Lee. 2010. Predictive Distribution Matching SVM for Multi-domain Learning. In ECML-PKDD, pages 231-247.
-
(2010)
ECML-PKDD
, pp. 231-247
-
-
Seah, C.W.1
Tsang, I.2
Ong, Y.S.3
Lee, K.K.4
-
22
-
-
33646880507
-
Using appraisal groups for sentiment analysis
-
DOI 10.1145/1099554.1099714, CIKM'05 - Proceedings of the 14th ACM International Conference on Information and Knowledge Management
-
Casey Whitelaw, Navendu Garg, and Shlomo Argamon. 2005. Using appraisal groups for sentiment analysis. In Proceedings of the ACM international conference on Information and Knowledge Management (CIKM), pages 625-631. (Pubitemid 44022238)
-
(2005)
International Conference on Information and Knowledge Management, Proceedings
, pp. 625-631
-
-
Whitelaw, C.1
Garg, N.2
Argamon, S.3
-
23
-
-
84859911433
-
Graph ranking for sentiment transfer
-
Q. Wu, S. Tan, and X. Cheng. 2009. Graph ranking for sentiment transfer. In ACL-IJCNLP, pages 317-320.
-
(2009)
ACL-IJCNLP
, pp. 317-320
-
-
Wu, Q.1
Tan, S.2
Cheng, X.3
-
24
-
-
80053431432
-
MIEA: A mutual iterative enhancement approach for cross- domain sentiment classification
-
Q. Wu, S. Tan, X. Cheng, and M. Duan. 2010. MIEA: a Mutual Iterative Enhancement Approach for Cross- Domain Sentiment Classification. In COLING, page 1327-1335.
-
(2010)
COLING
, pp. 1327-1335
-
-
Wu, Q.1
Tan, S.2
Cheng, X.3
Duan, M.4
-
25
-
-
84859028757
-
Automatically generating annotator rationales to improve sentiment classification
-
A. Yessenalina, Y. Choi, and C. Cardie. 2010a. Automatically generating annotator rationales to improve sentiment classification. In ACL, pages 336-341.
-
(2010)
ACL
, pp. 336-341
-
-
Yessenalina, A.1
Choi, Y.2
Cardie, C.3
-
26
-
-
80053250358
-
Multi-level structured models for document-level sentiment classification
-
A. Yessenalina, Y. Yue, and C. Cardie. 2010b. Multi- Level Structured Models for Document-Level Sentiment Classification. In EMNLP, pages 1046-1056.
-
(2010)
EMNLP
, pp. 1046-1056
-
-
Yessenalina, A.1
Yue, Y.2
Cardie, C.3
-
27
-
-
74849096097
-
Adding redundant features for CRFs-based sentence sentiment classification
-
Jun Zhao, Kang Liu, and Gen Wang. 2008. Adding redundant features for CRFs-based sentence sentiment classification. In EMNLP, pages 117-126.
-
(2008)
EMNLP
, pp. 117-126
-
-
Zhao, J.1
Liu, K.2
Wang, G.3
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