-
1
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Bengio, Y.; Simard, P.; and Frasconi, P. 1994. Learning long-term dependencies with gradient descent is difficult. Neural Networks, IEEE Transactions on 5(2):157-166.
-
(1994)
Neural Networks, IEEE Transactions on
, vol.5
, Issue.2
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
2
-
-
85097641926
-
On the properties of neural machine translation: Encoder-decoder approaches
-
Cho, K.; van Merrienboer, B.; Bahdanau, D.; and Bengio, Y. 2014a. On the properties of neural machine translation: Encoder-decoder approaches. Syntax, Semantics and Structure in Statistical Translation 103.
-
(2014)
Syntax, Semantics and Structure in Statistical Translation
, pp. 103
-
-
Cho, K.1
Van Merrienboer, B.2
Bahdanau, D.3
Bengio, Y.4
-
3
-
-
84961291190
-
Learning phrase representations using rnn encoder-decoder for statistical machine translation
-
Cho, K.; van Merrienboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; and Bengio, Y. 2014b. Learning phrase representations using rnn encoder-decoder for statistical machine translation. In EMNLP, 1724-1734.
-
(2014)
EMNLP
, pp. 1724-1734
-
-
Cho, K.1
Van Merrienboer, B.2
Gulcehre, C.3
Bahdanau, D.4
Bougares, F.5
Schwenk, H.6
Bengio, Y.7
-
5
-
-
84906925853
-
Adaptive recursive neural network for targetdependent twitter sentiment classification
-
Dong, L.; Wei, F.; Tan, C.; Tang, D.; Zhou, M.; and Xu, K. 2014. Adaptive recursive neural network for targetdependent twitter sentiment classification. In ACL, 49-54.
-
(2014)
ACL
, pp. 49-54
-
-
Dong, L.1
Wei, F.2
Tan, C.3
Tang, D.4
Zhou, M.5
Xu, K.6
-
6
-
-
84932166511
-
Deep convolutional neural networks for sentiment analysis of short texts
-
dos Santos, C., and Gatti, M. 2014. Deep convolutional neural networks for sentiment analysis of short texts. In Proceedings of COLING 2014, 69-78.
-
(2014)
Proceedings of COLING 2014
, pp. 69-78
-
-
Dos Santos, C.1
Gatti, M.2
-
7
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
Duchi, J.; Hazan, E.; and Singer, Y. 2011. Adaptive subgradient methods for online learning and stochastic optimization. JMLR 12:2121-2159.
-
(2011)
JMLR
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
8
-
-
78650122641
-
Twitter sentiment classification using distant supervision
-
Go, A.; Bhayani, R.; and Huang, L. 2009. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford 1:12.
-
(2009)
CS224N Project Report, Stanford
, vol.1
, pp. 12
-
-
Go, A.1
Bhayani, R.2
Huang, L.3
-
10
-
-
84867720412
-
-
arXiv preprint arXiv:1207.0580
-
Hinton, G. E.; Srivastava, N.; Krizhevsky, A.; Sutskever, I.; and Salakhutdinov, R. R. 2012. Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
12
-
-
12244305149
-
Mining and summarizing customer reviews
-
Hu, M., and Liu, B. 2004. Mining and summarizing customer reviews. In SIGKDD, 168-177.
-
(2004)
SIGKDD
, pp. 168-177
-
-
Hu, M.1
Liu, B.2
-
13
-
-
85007206820
-
Bidirectional recursive neural networks for token-level labeling with structure
-
abs/1312.0493
-
Irsoy, O., and Cardie, C. 2013. Bidirectional recursive neural networks for token-level labeling with structure. CoRR abs/1312.0493.
-
(2013)
CoRR
-
-
Irsoy, O.1
Cardie, C.2
-
14
-
-
83055184650
-
Target-dependent twitter sentiment classification
-
Jiang, L.; Yu, M.; Zhou, M.; Liu, X.; and Zhao, T. 2011. Target-dependent twitter sentiment classification. In Proceedings of the 49th ACL, 151-160.
-
(2011)
Proceedings of the 49th ACL
, pp. 151-160
-
-
Jiang, L.1
Yu, M.2
Zhou, M.3
Liu, X.4
Zhao, T.5
-
15
-
-
71149114015
-
A novel lexicalized hmm-based learning framework for web opinion mining
-
Jin, W.; Ho, H. H.; and Srihari, R. K. 2009. A novel lexicalized hmm-based learning framework for web opinion mining. In Proceedings of the 26th ICML, 465-472.
-
(2009)
Proceedings of the 26th ICML
, pp. 465-472
-
-
Jin, W.1
Ho, H.H.2
Srihari, R.K.3
-
16
-
-
84906922163
-
A convolutional neural network for modelling sentences
-
Kalchbrenner, N.; Grefenstette, E.; and Blunsom, P. 2014. A convolutional neural network for modelling sentences. In ACL, 655-665.
-
(2014)
ACL
, pp. 655-665
-
-
Kalchbrenner, N.1
Grefenstette, E.2
Blunsom, P.3
-
17
-
-
80053430466
-
Structure-aware review mining and summarization
-
Li, F.; Han, C.; Huang, M.; Zhu, X.; Xia, Y.-J.; Zhang, S.; and Yu, H. 2010. Structure-aware review mining and summarization. In Proceedings of the 23rd COLING, 653-661.
-
(2010)
Proceedings of the 23rd COLING
, pp. 653-661
-
-
Li, F.1
Han, C.2
Huang, M.3
Zhu, X.4
Xia, Y.-J.5
Zhang, S.6
Yu, H.7
-
18
-
-
79959829092
-
Recurrent neural network based language model
-
Mikolov, T.; Karafíat, M.; Burget, L.; Cernocky, J.; and Khudanpur, S. 2010. Recurrent neural network based language model. In INTERSPEECH 2010, 1045-1048.
-
(2010)
INTERSPEECH 2010
, pp. 1045-1048
-
-
Mikolov, T.1
Karafíat, M.2
Burget, L.3
Cernocky, J.4
Khudanpur, S.5
-
20
-
-
84926334512
-
Open domain targeted sentiment
-
Mitchell, M.; Aguilar, J.; Wilson, T.; and Van Durme, B. 2013. Open domain targeted sentiment. In EMNLP 2013, 1643-1654.
-
(2013)
EMNLP 2013
, pp. 1643-1654
-
-
Mitchell, M.1
Aguilar, J.2
Wilson, T.3
Van Durme, B.4
-
21
-
-
85008667877
-
Nrccanada: Building the state-of-the-art in sentiment analysis of tweets
-
Mohammad, S. M.; Kiritchenko, S.; and Zhu, X. 2013. Nrccanada: Building the state-of-the-art in sentiment analysis of tweets. In Semeval 2013, volume 2, 321-327.
-
(2013)
Semeval 2013
, vol.2
, pp. 321-327
-
-
Mohammad, S.M.1
Kiritchenko, S.2
Zhu, X.3
-
22
-
-
85035757758
-
Semeval-2013 task 2: Sentiment analysis in twitter
-
Nakov, P.; Rosenthal, S.; Kozareva, Z.; Stoyanov, V.; Ritter, A.; and Wilson, T. 2013. Semeval-2013 task 2: Sentiment analysis in twitter. In SemEval 2013, 312-320.
-
(2013)
SemEval 2013
, pp. 312-320
-
-
Nakov, P.1
Rosenthal, S.2
Kozareva, Z.3
Stoyanov, V.4
Ritter, A.5
Wilson, T.6
-
23
-
-
85141803251
-
Thumbs up?: Sentiment classification using machine learning techniques
-
Pang, B.; Lee, L.; and Vaithyanathan, S. 2002. Thumbs up?: sentiment classification using machine learning techniques. In ACL, 79-86.
-
(2002)
ACL
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
24
-
-
84937909554
-
Global belief recursive neural networks
-
Paulus, R.; Socher, R.; and Manning, C. D. 2014. Global belief recursive neural networks. In NIPS, 2888-2896.
-
(2014)
NIPS
, pp. 2888-2896
-
-
Paulus, R.1
Socher, R.2
Manning, C.D.3
-
26
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
Socher, R.; Perelygin, A.; Wu, J. Y.; Chuang, J.; Manning, C. D.; Ng, A. Y.; and Potts, C. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, 1631-1642.
-
(2013)
EMNLP
, pp. 1631-1642
-
-
Socher, R.1
Perelygin, A.2
Wu, J.Y.3
Chuang, J.4
Manning, C.D.5
Ng, A.Y.6
Potts, C.7
-
28
-
-
84906924350
-
Learning sentiment-specific word embedding for twitter sentiment classification
-
Tang, D.; Wei, F.; Yang, N.; Zhou, M.; Liu, T.; and Qin, B. 2014. Learning sentiment-specific word embedding for twitter sentiment classification. In ACL, 1555-1565.
-
(2014)
ACL
, pp. 1555-1565
-
-
Tang, D.1
Wei, F.2
Yang, N.3
Zhou, M.4
Liu, T.5
Qin, B.6
-
29
-
-
84949748798
-
Target-dependent twitter sentiment classification with rich automatic features
-
Vo, D.-T., and Zhang, Y. 2015. Target-dependent twitter sentiment classification with rich automatic features. In Proceedings of the IJCAI, 1347-1353.
-
(2015)
Proceedings of the IJCAI
, pp. 1347-1353
-
-
Vo, D.-T.1
Zhang, Y.2
-
30
-
-
83055179484
-
Topic sentiment analysis in twitter: A graph-based hashtag sentiment classification approach
-
Wang, X.; Wei, F.; Liu, X.; Zhou, M.; and Zhang, M. 2011. Topic sentiment analysis in twitter: A graph-based hashtag sentiment classification approach. In CIKM, 1031-1040.
-
(2011)
CIKM
, pp. 1031-1040
-
-
Wang, X.1
Wei, F.2
Liu, X.3
Zhou, M.4
Zhang, M.5
-
31
-
-
33644632271
-
Annotating expressions of opinions and emotions in language
-
Wiebe, J.; Wilson, T.; and Cardie, C. 2005. Annotating expressions of opinions and emotions in language. Language resources and evaluation 39(2-3):165-210.
-
(2005)
Language Resources and Evaluation
, vol.39
, Issue.2-3
, pp. 165-210
-
-
Wiebe, J.1
Wilson, T.2
Cardie, C.3
-
32
-
-
84906928296
-
Joint inference for finegrained opinion extraction
-
Yang, B., and Cardie, C. 2013. Joint inference for finegrained opinion extraction. In ACL (1), 1640-1649.
-
(2013)
ACL
, Issue.1
, pp. 1640-1649
-
-
Yang, B.1
Cardie, C.2
-
33
-
-
29344473560
-
Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques
-
Yi, J.; Nasukawa, T.; Bunescu, R.; and Niblack, W. 2003.Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Proceedings of the ICDM, 427-434.
-
(2003)
Proceedings of the ICDM
, pp. 427-434
-
-
Yi, J.1
Nasukawa, T.2
Bunescu, R.3
Niblack, W.4
-
35
-
-
84959912331
-
Hybrid deep belief networks for semi-supervised sentiment classification
-
Zhou, S.; Chen, Q.;Wang, X.; and Li, X. 2014. Hybrid deep belief networks for semi-supervised sentiment classification. In Proceedings of COLING 2014, 1341-1349.
-
(2014)
Proceedings of COLING 2014
, pp. 1341-1349
-
-
Zhou, S.1
Chen, Q.2
Wang, X.3
Li, X.4
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