-
1
-
-
84906930943
-
Don't count, predict! A systematic comparison of context-counting vs. Context-predicting semantic vectors
-
Marco Baroni, Georgiana Dinu, and Germán Kruszewski. 2014. Don't count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors. In ACL, pages 238-247.
-
(2014)
ACL
, pp. 238-247
-
-
Baroni, M.1
Dinu, G.2
Kruszewski, G.3
-
2
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Yoshua Bengio, Patrice Simard, and Paolo Frasconi. 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
-
3
-
-
0142166851
-
A neural probabilistic language model
-
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic language model. Journal of Machine Learning Research, 3:1137-1155.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1137-1155
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Janvin, C.4
-
5
-
-
84961291190
-
Learning phrase representations using rnn encoder-decoder for statistical machine translation
-
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using rnn encoder-decoder for statistical machine translation. In EMNLP, pages 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
-
6
-
-
84969972350
-
Gated feedback recurrent neural networks
-
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio. 2015. Gated feedback recurrent neural networks. ICML.
-
(2015)
ICML
-
-
Chung, J.1
Gulcehre, C.2
Cho, K.3
Bengio, Y.4
-
7
-
-
84941010245
-
-
arXiv preprint: 1406.3830
-
Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, and Nando de Freitas. 2014. Modelling, visualising and summarising documents with a single convolutional neural network. arXiv preprint: 1406.3830.
-
(2014)
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
-
-
Denil, M.1
Demiraj, A.2
Kalchbrenner, N.3
Blunsom, P.4
De Freitas, N.5
-
8
-
-
84907027192
-
Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars)
-
ACM
-
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J Smola, Jing Jiang, and Chong Wang. 2014. Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars). In SIGKDD, pages 193-202. ACM.
-
(2014)
SIGKDD
, pp. 193-202
-
-
Diao, Q.1
Qiu, M.2
Wu, C.3
Smola, A.J.4
Jiang, J.5
Wang, C.6
-
9
-
-
84908161392
-
Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis
-
Li Dong, Furu Wei, Ming Zhou, and Ke Xu. 2014. Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis. In AAAI, pages 1537-1543.
-
(2014)
AAAI
, pp. 1537-1543
-
-
Dong, L.1
Wei, F.2
Zhou, M.3
Xu, K.4
-
11
-
-
84926003830
-
On sense and reference
-
Gottlob Frege. 1892. On sense and reference. Ludlow (1997), pages 563-584.
-
(1892)
Ludlow (1997)
, pp. 563-584
-
-
Frege, G.1
-
12
-
-
79957953803
-
Beyond the stars: Improving rating predictions using review text content
-
Gayatree Ganu, Noemie Elhadad, and Amélie Marian. 2009. Beyond the stars: Improving rating predictions using review text content. In WebDB.
-
(2009)
WebDB
-
-
Ganu, G.1
Elhadad, N.2
Amélie Marian3
-
13
-
-
80053443013
-
Domain adaptation for large-scale sentiment classification: A deep learning approach
-
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Domain adaptation for large-scale sentiment classification: A deep learning approach. In ICML, pages 513-520.
-
(2011)
ICML
, pp. 513-520
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
14
-
-
85081790022
-
Seeing stars when there aren't many stars: Graph-based semisupervised learning for sentiment categorization
-
Andrew B Goldberg and Xiaojin Zhu. 2006. Seeing stars when there aren't many stars: graph-based semisupervised learning for sentiment categorization. In GraphBased Method for NLP, pages 45-52.
-
(2006)
GraphBased Method for NLP
, pp. 45-52
-
-
Goldberg, A.B.1
Zhu, X.2
-
16
-
-
84906929292
-
The role of syntax in vector space models of compositional semantics
-
Karl Moritz Hermann and Phil Blunsom. 2013. The role of syntax in vector space models of compositional semantics. In ACL, pages 894-904.
-
(2013)
ACL
, pp. 894-904
-
-
Moritz Hermann, K.1
Blunsom, P.2
-
18
-
-
84937828128
-
Deep recursive neural networks for compositionality in language
-
Ozan Irsoy and Claire Cardie. 2014. Deep recursive neural networks for compositionality in language. In NIPS, pages 2096-2104.
-
(2014)
NIPS
, pp. 2096-2104
-
-
Irsoy, O.1
Cardie, C.2
-
19
-
-
84960120039
-
Effective use of word order for text categorization with convolutional neural networks
-
Rie Johnson and Tong Zhang. 2015. Effective use of word order for text categorization with convolutional neural networks. NAACL.
-
(2015)
NAACL
-
-
Johnson, R.1
Zhang, T.2
-
21
-
-
84906922163
-
A convolutional neural network for modelling sentences
-
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014. A convolutional neural network for modelling sentences. In ACL, pages 655-665.
-
(2014)
ACL
, pp. 655-665
-
-
Kalchbrenner, N.1
Grefenstette, E.2
Blunsom, P.3
-
22
-
-
84961376850
-
Convolutional neural networks for sentence classification
-
Yoon Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP, pages 1746-1751.
-
(2014)
EMNLP
, pp. 1746-1751
-
-
Kim, Y.1
-
25
-
-
84919829999
-
Distributed representations of sentences and documents
-
Quoc V. Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In ICML, pages 1188-1196.
-
(2014)
ICML
, pp. 1188-1196
-
-
Le, Q.V.1
Mikolov, T.2
-
30
-
-
84859023447
-
Learning word vectors for sentiment analysis
-
Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011. Learning word vectors for sentiment analysis. In ACL, pages 142-150.
-
(2011)
ACL
, pp. 142-150
-
-
Maas, A.L.1
Daly, R.E.2
Pham, P.T.3
Huang, D.4
Ng, A.Y.5
Potts, C.6
-
32
-
-
85117622017
-
The Stanford corenlp natural language processing toolkit
-
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bernard, and David McClosky. 2014. The Stanford corenlp natural language processing toolkit. In ACL, pages 55-60.
-
(2014)
ACL
, pp. 55-60
-
-
Manning, C.1
Surdeanu, M.2
Bauer, J.3
Finkel, J.4
Bernard, S.5
McClosky, D.6
-
33
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111-3119.
-
(2013)
NIPS
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
34
-
-
80053288309
-
Composition in distributional models of semantics
-
Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Cognitive Science, 34(8):1388-1429.
-
(2010)
Cognitive Science
, vol.34
, Issue.8
, pp. 1388-1429
-
-
Mitchell, J.1
Lapata, M.2
-
36
-
-
84859895244
-
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
-
Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In ACL, pages 115-124.
-
(2005)
ACL
, pp. 115-124
-
-
Pang, B.1
Lee, L.2
-
38
-
-
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
-
39
-
-
84937909554
-
Global belief recursive neural networks
-
Romain Paulus, Richard Socher, and Christopher D Manning. 2014. Global belief recursive neural networks. In NIPS, pages 2888-2896.
-
(2014)
NIPS
, pp. 2888-2896
-
-
Paulus, R.1
Socher, R.2
Manning, C.D.3
-
40
-
-
84961289992
-
Glove: Global vectors for word representation
-
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In EMNLP, pages 1532-1543.
-
(2014)
EMNLP
, pp. 1532-1543
-
-
Pennington, J.1
Socher, R.2
Manning, C.D.3
-
41
-
-
80053399207
-
The bag-of-opinions method for review rating prediction from sparse text patterns
-
Lizhen Qu, Georgiana Ifrim, and Gerhard Weikum. 2010. The bag-of-opinions method for review rating prediction from sparse text patterns. In COLING, pages 913-921.
-
(2010)
COLING
, pp. 913-921
-
-
Qu, L.1
Ifrim, G.2
Weikum, G.3
-
42
-
-
84893795422
-
Parsing with compositional vector grammars
-
Richard Socher, John Bauer, Christopher D. Manning, and Andrew Y. Ng. 2013a. Parsing with compositional vector grammars. In ACL.
-
(2013)
ACL
-
-
Socher, R.1
Bauer, J.2
Manning, C.D.3
Ng, A.Y.4
-
43
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013b. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, pages 1631-1642.
-
(2013)
EMNLP
, pp. 1631-1642
-
-
Socher, R.1
Perelygin, A.2
Wu, J.3
Chuang, J.4
Manning, C.D.5
Ng, A.6
Potts, C.7
-
44
-
-
84928547704
-
Sequence to sequence learning with neural networks
-
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014. Sequence to sequence learning with neural networks. In NIPS, pages 3104-3112.
-
(2014)
NIPS
, pp. 3104-3112
-
-
Sutskever, I.1
Vinyals, O.2
Le, Q.V.3
-
45
-
-
84943797465
-
Improved semantic representations from tree-structured long short-term memory networks
-
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015. Improved semantic representations from tree-structured long short-term memory networks. In ACL.
-
(2015)
ACL
-
-
Sheng Tai, K.1
Socher, R.2
Manning, C.D.3
-
46
-
-
84906924350
-
Learning sentiment-specific word embedding for twitter sentiment classification
-
Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014. Learning sentiment-specific word embedding for twitter sentiment classification. In ACL, pages 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
-
47
-
-
84943784260
-
Learning semantic representations of users and products for document level sentiment classification
-
Duyu Tang, Bing Qin, and Ting Liu. 2015. Learning semantic representations of users and products for document level sentiment classification. In ACL, pages 1014-1023.
-
(2015)
ACL
, pp. 1014-1023
-
-
Tang, D.1
Qin, B.2
Liu, T.3
-
48
-
-
85136072040
-
Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
-
Peter D Turney. 2002. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In ACL, pages 417-424.
-
(2002)
ACL
, pp. 417-424
-
-
Turney, P.D.1
-
49
-
-
84875872773
-
Baselines and bigrams: Simple, good sentiment and topic classification
-
Sida Wang and Christopher D Manning. 2012. Baselines and bigrams: Simple, good sentiment and topic classification. In ACL, pages 90-94.
-
(2012)
ACL
, pp. 90-94
-
-
Wang, S.1
Manning, C.D.2
-
50
-
-
79251597226
-
Exploring the use of word relation features for sentiment classification
-
Rui Xia and Chengqing Zong. 2010. Exploring the use of word relation features for sentiment classification. In COLING, pages 1336-1344.
-
(2010)
COLING
, pp. 1336-1344
-
-
Xia, R.1
Zong, C.2
-
51
-
-
84943808723
-
Joint opinion relation detection using one-class deep neural network
-
Liheng Xu, Kang Liu, and Jun. Zhao. 2014. Joint opinion relation detection using one-class deep neural network. In COLING, pages 677-687.
-
(2014)
COLING
, pp. 677-687
-
-
Xu, L.1
Liu, K.2
Jun. Zhao3
-
52
-
-
84970002232
-
Show, attend and tell: Neural image caption generation with visual attention
-
Kelvin Xu, Jimmy Ba, Ryan Kiros, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, and Yoshua Bengio. 2015. Show, attend and tell: Neural image caption generation with visual attention. ICML.
-
(2015)
ICML
-
-
Xu, K.1
Ba, J.2
Kiros, R.3
Courville, A.4
Salakhutdinov, R.5
Zemel, R.6
Bengio, Y.7
-
53
-
-
80053240499
-
Compositional matrix-space models for sentiment analysis
-
Ainur Yessenalina and Claire Cardie. 2011. Compositional matrix-space models for sentiment analysis. In EMNLP, pages 172-182.
-
(2011)
EMNLP
, pp. 172-182
-
-
Yessenalina, A.1
Cardie, C.2
-
55
-
-
84904573681
-
Do users rate or review?: Boost phrase-level sentiment labeling with review-level sentiment classification
-
ACM
-
Yongfeng Zhang, Haochen Zhang, Min Zhang, Y-iqun Liu, and Shaoping Ma. 2014. Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification. In SIGIR, pages 1027-1030. ACM.
-
(2014)
SIGIR
, pp. 1027-1030
-
-
Zhang, Y.1
Zhang, H.2
Zhang, M.3
Liu, Y.-I.4
Ma, S.5
-
56
-
-
84949766261
-
Self-adaptive hierarchical sentence model
-
Han Zhao, Zhengdong Lu, and Pascal Poupart. 2015. Self-adaptive hierarchical sentence model. In IJCAI.
-
(2015)
IJCAI
-
-
Zhao, H.1
Lu, Z.2
Poupart, P.3
-
57
-
-
80053239308
-
Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities
-
Lanjun Zhou, Binyang Li, Wei Gao, Zhongyu Wei, and Kam-Fai Wong. 2011. Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities. In EMNLP, pages 162-171,.
-
(2011)
EMNLP
, pp. 162-171
-
-
Zhou, L.1
Li, B.2
Gao, W.3
Wei, Z.4
Wong, K.5
-
58
-
-
84969812378
-
Long short-term memory over tree structures
-
Xiaodan Zhu, Parinaz Sobhani, and Hongyu Guo. 2015. Long short-term memory over tree structures. ICML.
-
(2015)
ICML
-
-
Zhu, X.1
Sobhani, P.2
Guo, H.3
|