-
1
-
-
84964582636
-
Polyglot: Distributed word representations for multilingual nlp
-
R. Al-Rfou', B. Perozzi, and S. Skiena. 2013. Polyglot: Distributed word representations for multilingual nlp. In Proceedings of CoNLL.
-
(2013)
Proceedings of CoNLL
-
-
Al-Rfou, R.1
Perozzi, B.2
Skiena, S.3
-
2
-
-
80053232678
-
Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space
-
M. Baroni and R. Zamparelli. 2010. Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In Proceedings of EMNLP.
-
(2010)
Proceedings of EMNLP
-
-
Baroni, M.1
Zamparelli, R.2
-
3
-
-
0142166851
-
A neural probabilistic language model
-
March
-
Y. Bengio, R. Ducharme, P. Vincent, and C. Janvin. 2003. A neural probabilistic language model. Journal of Machine Learning Research, 3:1137-1155, March.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1137-1155
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Janvin, C.4
-
5
-
-
0035765470
-
Precis of how children learn the meanings of words
-
P. Bloom. 2001. Precis of how children learn the meanings of words. Behavioral and Brain Sciences, 24:1095-1103.
-
(2001)
Behavioral and Brain Sciences
, vol.24
, pp. 1095-1103
-
-
Bloom, P.1
-
8
-
-
84860539387
-
Machine translation by triangulation: Making effective use of multi-parallel corpora
-
T. Cohn and M. Lapata. 2007. Machine translation by triangulation: Making effective use of multi-parallel corpora. In Proceedings of ACL.
-
(2007)
Proceedings of ACL
-
-
Cohn, T.1
Lapata, M.2
-
9
-
-
85127836544
-
Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
-
M. Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of ACLEMNLP.
-
(2002)
Proceedings of ACLEMNLP
-
-
Collins, M.1
-
10
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston. 2008. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of ICML.
-
(2008)
Proceedings of ICML
-
-
Collobert, R.1
Weston, J.2
-
11
-
-
80053558787
-
Natural language processing (almost) from scratch
-
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12:2493-2537.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2493-2537
-
-
Collobert, R.1
Weston, J.2
Bottou, L.3
Karlen, M.4
Kavukcuoglu, K.5
Kuksa, P.6
-
12
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
July
-
J. Duchi, E. Hazan, and Y. Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121-2159, July.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
14
-
-
84859990607
-
Cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models
-
C. Dyer, A. Lopez, J. Ganitkevitch, J. Weese, F. Ture, P. Blunsom, H. Setiawan, V. Eidelman, and P. Resnik. 2010. cdec: A Decoder, Alignment, and Learning framework for finite-state and context-free translation models. In Proceedings of ACL.
-
(2010)
Proceedings of ACL
-
-
Dyer, C.1
Lopez, A.2
Ganitkevitch, J.3
Weese, J.4
Ture, F.5
Blunsom, P.6
Setiawan, H.7
Eidelman, V.8
Resnik, P.9
-
15
-
-
80053377616
-
A structured vector space model for word meaning in context
-
K. Erk and S. Padó. 2008. A structured vector space model for word meaning in context. Proceedings of EMNLP.
-
(2008)
Proceedings of EMNLP
-
-
Erk, K.1
Padó, S.2
-
17
-
-
80053235817
-
Experimental support for a categorical compositional distributional model of meaning
-
E. Grefenstette and M. Sadrzadeh. 2011. Experimental support for a categorical compositional distributional model of meaning. In Proceedings of EMNLP.
-
(2011)
Proceedings of EMNLP
-
-
Grefenstette, E.1
Sadrzadeh, M.2
-
19
-
-
84906929292
-
The role of syntax in vector space models of compositional semantics
-
K. M. Hermann and P. Blunsom. 2013. The Role of Syntax in Vector Space Models of Compositional Semantics. In Proceedings of ACL.
-
(2013)
Proceedings of ACL
-
-
Hermann, K.M.1
Blunsom, P.2
-
20
-
-
85083954371
-
Multilingual distributed representations without word alignment
-
K. M. Hermann and P. Blunsom. 2014. Multilingual Distributed Representations without Word Alignment. In Proceedings of ICLR.
-
(2014)
Proceedings of ICLR
-
-
Hermann, K.M.1
Blunsom, P.2
-
25
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
December
-
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. 2004. Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397, December.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
30
-
-
84859927665
-
Vector-based models of semantic composition
-
J. Mitchell and M. Lapata. 2008. Vector-based models of semantic composition. In In Proceedings of ACL.
-
(2008)
Proceedings of ACL
-
-
Mitchell, J.1
Lapata, M.2
-
31
-
-
84858779990
-
A scalable hierarchical distributed language model
-
A. Mnih and G. Hinton. 2009. A scalable hierarchical distributed language model. In Proceedings of NIPS.
-
(2009)
Proceedings of NIPS
-
-
Mnih, A.1
Hinton, G.2
-
32
-
-
80053437179
-
Multimodal deep learning
-
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng. 2011. Multimodal deep learning. In ICML.
-
(2011)
ICML
-
-
Ngiam, J.1
Khosla, A.2
Kim, M.3
Nam, J.4
Lee, H.5
Ng, A.Y.6
-
33
-
-
0037818302
-
Grounded spoken language acquisition: Experiments in word learning
-
June
-
D. Roy. 2003. Grounded spoken language acquisition: Experiments in word learning. IEEE Transactions on Multimedia, 5(2):197-209, June.
-
(2003)
IEEE Transactions on Multimedia
, vol.5
, Issue.2
, pp. 197-209
-
-
Roy, D.1
-
38
-
-
80053495924
-
Word representations: A simple and general method for semisupervised learning
-
J. Turian, L. Ratinov, and Y. Bengio. 2010. Word representations: a simple and general method for semisupervised learning. In Proceedings of ACL.
-
(2010)
Proceedings of ACL
-
-
Turian, J.1
Ratinov, L.2
Bengio, Y.3
-
39
-
-
84866880930
-
Domain and function: A dualspace model of semantic relations and compositions
-
P. D. Turney. 2012. Domain and function: A dualspace model of semantic relations and compositions. Journal of Artificial Intelligence Research, 44:533-585.
-
(2012)
Journal of Artificial Intelligence Research
, vol.44
, pp. 533-585
-
-
Turney, P.D.1
|