A neural generative autoencoder for bilingual word embeddings
Bilingual word embeddings (BWEs) have been shown to be useful in various cross-lingual natural language processing tasks. To accurately learn BWEs, previous studies often resort to discriminative approaches which explore semantic proximities between translation equivalents of different languages. In...
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| Vydáno v: | Information sciences Ročník 424; s. 287 - 300 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Inc
01.01.2018
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| ISSN: | 0020-0255, 1872-6291 |
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| Abstract | Bilingual word embeddings (BWEs) have been shown to be useful in various cross-lingual natural language processing tasks. To accurately learn BWEs, previous studies often resort to discriminative approaches which explore semantic proximities between translation equivalents of different languages. Instead, in this paper, we propose a neural generative bilingual autoencoder (NGBAE) which introduces a latent variable to explicitly induce the underlying semantics of bilingual text. In this way, NGBAE is able to obtain better BWEs from more robust bilingual semantics by modeling the semantic distributions of bilingual text. In order to facilitate scalable inference and learning, we utilize deep neural networks to perform the recognition and generation procedures, and then employ stochastic gradient variational Bayes algorithm to optimize them jointly. We validate the proposed model via both extrinsic (cross-lingual document classification and translation probability modeling) and intrinsic (word embedding analysis) evaluations. Experimental results demonstrate the effectiveness of NGBAE on learning BWEs. |
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| AbstractList | Bilingual word embeddings (BWEs) have been shown to be useful in various cross-lingual natural language processing tasks. To accurately learn BWEs, previous studies often resort to discriminative approaches which explore semantic proximities between translation equivalents of different languages. Instead, in this paper, we propose a neural generative bilingual autoencoder (NGBAE) which introduces a latent variable to explicitly induce the underlying semantics of bilingual text. In this way, NGBAE is able to obtain better BWEs from more robust bilingual semantics by modeling the semantic distributions of bilingual text. In order to facilitate scalable inference and learning, we utilize deep neural networks to perform the recognition and generation procedures, and then employ stochastic gradient variational Bayes algorithm to optimize them jointly. We validate the proposed model via both extrinsic (cross-lingual document classification and translation probability modeling) and intrinsic (word embedding analysis) evaluations. Experimental results demonstrate the effectiveness of NGBAE on learning BWEs. |
| Author | Zhang, Biao Wu, Changxing Xiong, Deyi Qin, Yue Wu, Shan Su, Jinsong |
| Author_xml | – sequence: 1 givenname: Jinsong surname: Su fullname: Su, Jinsong email: jssu@xmu.edu.cn organization: Xiamen University, Xiamen 361005, China – sequence: 2 givenname: Shan surname: Wu fullname: Wu, Shan email: wushan@stu.xmu.edu.cn organization: Xiamen University, Xiamen 361005, China – sequence: 3 givenname: Biao surname: Zhang fullname: Zhang, Biao email: zb@stu.xmu.edu.cn organization: Xiamen University, Xiamen 361005, China – sequence: 4 givenname: Changxing surname: Wu fullname: Wu, Changxing email: wuchangxing@ecjtu.edu.cn organization: Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang 330013, China – sequence: 5 givenname: Yue orcidid: 0000-0002-7857-2936 surname: Qin fullname: Qin, Yue email: qinyue@stu.xmu.edu.cn organization: Xiamen University, Xiamen 361005, China – sequence: 6 givenname: Deyi orcidid: 0000-0002-2353-5038 surname: Xiong fullname: Xiong, Deyi email: dyxiong@suda.edu.cn organization: Soochow University, Suzhou 215006, China |
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| Keywords | Translation probability modeling Bilingual word embeddings Cross-lingual document classification Neural generative autoencoder |
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| References | Bengio, Ducharme, Vincent, Janvin (bib0001) 2003; 3 Klementiev, Titov, Bhattarai (bib0025) 2012 Liu, Liu, Chua, Sun (bib0030) 2015 Och, Ney (bib0037) 2003 Kim, Park, Oh, Yu (bib0022) 2017; 417 Liu, Qiu, Huang (bib0029) 2015 Vulić, Moens (bib0048) 2015 Garcia, Rodriguez, Rifon (bib0011) 2017; 406 Bhatia, Guthrie, Eisenstein (bib0003) 2016 Zou, Rocher, Cer, Manning (bib0054) 2013 Theano Development Team, Theano: a Python framework for fast computation of mathematical expressions, arXiv e-prints abs/1605.02688 (2016). Hong, Yu, Tao, Wang (bib0018) 2015; 62 Shi, Liu, Liu, Sun (bib0041) 2015 Tian, Wong, Chao, Quaresma, Oliveira, Yi (bib0046) 2014 Guo, Che, Yarowsky, Wang, Liu (bib0015) 2016 Upadhyay, Faruqui, Dyer, Roth (bib0047) 2016 Chung, Kastner, Dinh, Goel, Courville, Bengio (bib0005) 2015 Ling, Dyer, Black, Trancoso, Fermandez, Amir, Marujo, Luis (bib0028) 2015 Zhou, Chen, Shi, Huang (bib0053) 2015 Rezende, Mohamed, Wierstra (bib0040) 2014 Yu, Yang, Gao, Tao (bib0051) 2016 Duong, Kanayama, Ma, Bird, Cohn (bib0010) 2016 Hermann, Blunsom (bib0017) 2014 Coulmance, Marty, Wenzek, Benhalloum (bib0008) 2015 Hong, Yu, Wan, Tao, Wang (bib0019) 2015; 24 Yu, Zhang, Kuang, Lin, Fan (bib0052) 2016 Qian, Qiu, Huang (bib0039) 2016 Stratos, Collins, Hsu (bib0044) 2015 Collins (bib0006) 2002 Gouws, Bengio, Corrado (bib0012) 2015 Yin, Schütze (bib0050) 2016 Gregor, Danihelka, Graves, Wierstra (bib0013) 2015; abs/1502.04623 Luong, Pham, Manning (bib0032) 2015 Kočiský, Hermann, Blunsom (bib0027) 2014 Duchi, Hazan, Singer (bib0009) 2010 Cotterell, Schütze, Eisner (bib0007) 2016 Ji, Yun, Yanardag, Matsushima, Vishwanathan (bib0021) 2016 Kingma, Mohamed, Rezende, Welling (bib0023) 2014 Chandar, Lauly, Larochelle, Khapra, Ravindran, Raykar, Saha (bib0004) 2014 Gu, Gu, Wu (bib0014) 2017 Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, U. Montreal, Greedy layer-wise training of deep networks, Proc. of NIPS2007, 2007. Huang, Socher, Manning, Ng (bib0020) 2012 Lu, Wang, Bansal, Gimpel, Livescu (bib0031) 2015 T. Mikolov, Q.V. Le, I. Sutskever, Exploiting similarities among languages for machine translation, Arxiv preprint. abs/1309.4168 (2013). Kingma, Welling (bib0024) 2014 Maaten, Hinton (bib0033) 2008; 9 Soyer, Stenetorp, Aizawa (bib0043) 2015 Hermann, Blunsom (bib0016) 2014 T. Mikolov, K. Chen, G. Corrado, J. Dean, Efficient estimation of word representations in vector space, Arxiv preprint. abs/1301.3781 (2013). Y. Miao, L. Yu, P. Blunsom, Neural variational inference for text processing, Arxiv preprint. abs/1511.06038 (2015). Oshikiri, Fukui, Shimodaira (bib0038) 2016 Koehn, Och, Marcu (bib0026) 2003 Socher, Pennington, Huang, Ng, Manning (bib0042) 2011 Vulić, Moens (bib0049) 2015 Zhou (10.1016/j.ins.2017.09.070_bib0053) 2015 Bengio (10.1016/j.ins.2017.09.070_bib0001) 2003; 3 Lu (10.1016/j.ins.2017.09.070_bib0031) 2015 Luong (10.1016/j.ins.2017.09.070_bib0032) 2015 10.1016/j.ins.2017.09.070_bib0002 Coulmance (10.1016/j.ins.2017.09.070_bib0008) 2015 Chandar (10.1016/j.ins.2017.09.070_bib0004) 2014 Chung (10.1016/j.ins.2017.09.070_bib0005) 2015 Cotterell (10.1016/j.ins.2017.09.070_bib0007) 2016 Koehn (10.1016/j.ins.2017.09.070_bib0026) 2003 10.1016/j.ins.2017.09.070_bib0045 Rezende (10.1016/j.ins.2017.09.070_bib0040) 2014 Garcia (10.1016/j.ins.2017.09.070_bib0011) 2017; 406 Upadhyay (10.1016/j.ins.2017.09.070_bib0047) 2016 Kingma (10.1016/j.ins.2017.09.070_bib0023) 2014 Socher (10.1016/j.ins.2017.09.070_bib0042) 2011 Kingma (10.1016/j.ins.2017.09.070_bib0024) 2014 Maaten (10.1016/j.ins.2017.09.070_bib0033) 2008; 9 Och (10.1016/j.ins.2017.09.070_bib0037) 2003 Liu (10.1016/j.ins.2017.09.070_bib0030) 2015 Huang (10.1016/j.ins.2017.09.070_bib0020) 2012 Hong (10.1016/j.ins.2017.09.070_bib0018) 2015; 62 Hermann (10.1016/j.ins.2017.09.070_bib0017) 2014 Oshikiri (10.1016/j.ins.2017.09.070_bib0038) 2016 Duong (10.1016/j.ins.2017.09.070_bib0010) 2016 Yu (10.1016/j.ins.2017.09.070_bib0051) 2016 Duchi (10.1016/j.ins.2017.09.070_bib0009) 2010 Tian (10.1016/j.ins.2017.09.070_bib0046) 2014 Gregor (10.1016/j.ins.2017.09.070_bib0013) 2015; abs/1502.04623 Zou (10.1016/j.ins.2017.09.070_bib0054) 2013 Hermann (10.1016/j.ins.2017.09.070_bib0016) 2014 Guo (10.1016/j.ins.2017.09.070_bib0015) 2016 Ji (10.1016/j.ins.2017.09.070_bib0021) 2016 Liu (10.1016/j.ins.2017.09.070_bib0029) 2015 Yu (10.1016/j.ins.2017.09.070_bib0052) 2016 Yin (10.1016/j.ins.2017.09.070_bib0050) 2016 Klementiev (10.1016/j.ins.2017.09.070_bib0025) 2012 Kočiský (10.1016/j.ins.2017.09.070_bib0027) 2014 Hong (10.1016/j.ins.2017.09.070_bib0019) 2015; 24 Vulić (10.1016/j.ins.2017.09.070_bib0049) 2015 Shi (10.1016/j.ins.2017.09.070_bib0041) 2015 Gouws (10.1016/j.ins.2017.09.070_bib0012) 2015 10.1016/j.ins.2017.09.070_bib0035 10.1016/j.ins.2017.09.070_bib0036 Qian (10.1016/j.ins.2017.09.070_bib0039) 2016 Collins (10.1016/j.ins.2017.09.070_bib0006) 2002 Gu (10.1016/j.ins.2017.09.070_bib0014) 2017 10.1016/j.ins.2017.09.070_bib0034 Vulić (10.1016/j.ins.2017.09.070_bib0048) 2015 Ling (10.1016/j.ins.2017.09.070_bib0028) 2015 Bhatia (10.1016/j.ins.2017.09.070_bib0003) 2016 Stratos (10.1016/j.ins.2017.09.070_bib0044) 2015 Kim (10.1016/j.ins.2017.09.070_bib0022) 2017; 417 Soyer (10.1016/j.ins.2017.09.070_bib0043) 2015 |
| References_xml | – start-page: 151 year: 2011 end-page: 161 ident: bib0042 article-title: Semi-supervised recursive autoencoders for predicting sentiment distributions publication-title: Proc. of EMNLP2011 – start-page: 363 year: 2015 end-page: 372 ident: bib0049 article-title: Monolingual and cross-lingual information retrieval models based on (bilingual) word embeddings publication-title: Proc. of SIGIR2015 – start-page: 1 year: 2016 end-page: 11 ident: bib0051 article-title: Deep multimodal distance metric learning using click constraints for image ranking publication-title: IEEE Trans. Cybern. – start-page: 490 year: 2016 end-page: 500 ident: bib0003 article-title: Morphological priors for probabilistic neural word embeddings publication-title: Proc. of EMNLP2016 – start-page: 1109 year: 2015 end-page: 1113 ident: bib0008 article-title: Trans-gram, fast cross-lingual word-embeddings publication-title: Proc. of EMNLP2015 – reference: Theano Development Team, Theano: a Python framework for fast computation of mathematical expressions, arXiv e-prints abs/1605.02688 (2016). – start-page: 1005 year: 2016 end-page: 1016 ident: bib0052 article-title: Iprivacy: image privacy protection by identifying sensitive objects via deep multi-task learning publication-title: IEEE Trans. Inf. Forensics Secur. – start-page: 1661 year: 2016 end-page: 1670 ident: bib0047 article-title: Cross-lingual models of word embeddings: an empirical comparison publication-title: Proc. of ACL2016 – start-page: 719 year: 2015 end-page: 725 ident: bib0048 article-title: Bilingual word embeddings from non-parallel document-aligned data applied to bilingual lexicon induction publication-title: Proc. of ACL2015 – reference: T. Mikolov, K. Chen, G. Corrado, J. Dean, Efficient estimation of word representations in vector space, Arxiv preprint. abs/1301.3781 (2013). – start-page: 250 year: 2015 end-page: 256 ident: bib0031 article-title: Deep multilingual correlation for improved word embeddings publication-title: Proc. of NAACL2015 – start-page: 2734 year: 2016 end-page: 2740 ident: bib0015 article-title: A representation learning framework for multi-source transfer parsing publication-title: Proc. of AAAI2016 – year: 2014 ident: bib0016 article-title: Multilingual distributed representations without word alignment publication-title: Proc. of ICLR2014 – start-page: 48 year: 2003 end-page: 54 ident: bib0026 article-title: Statistical phrase-based translation publication-title: Proceedings of NAACL 2003 – year: 2014 ident: bib0040 article-title: Stochastic backpropagation and approximate inference in deep generative models publication-title: Proc. of ICML2014 – start-page: 1459 year: 2012 end-page: 1474 ident: bib0025 article-title: Inducing crosslingual distributed representations of words publication-title: Proc. of COLING2012 – start-page: 224 year: 2014 end-page: 229 ident: bib0027 article-title: Learning bilingual word representations by marginalizing alignments publication-title: Proc. of ACL2014 – start-page: 1284 year: 2015 end-page: 1290 ident: bib0029 article-title: Learning context-sensitive word embeddings with neural tensor skip-gram mode publication-title: Proc. of IJCAI2015 – start-page: 493 year: 2016 end-page: 498 ident: bib0038 article-title: Cross-lingual word representations via spectral graph embeddings publication-title: Proc. of ACL2016 – reference: T. Mikolov, Q.V. Le, I. Sutskever, Exploiting similarities among languages for machine translation, Arxiv preprint. abs/1309.4168 (2013). – reference: Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, U. Montreal, Greedy layer-wise training of deep networks, Proc. of NIPS2007, 2007. – year: 2014 ident: bib0024 article-title: Auto-encoding variational bayes publication-title: Proc. of ICLR2014 – start-page: 1351 year: 2016 end-page: 1360 ident: bib0050 article-title: Learning word meta-embeddings publication-title: Proc. of ACL2016 – start-page: 2980 year: 2015 end-page: 2988 ident: bib0005 article-title: A recurrent latent variable model for sequential data publication-title: Proc. of NIPS2015 – volume: 417 start-page: 72 year: 2017 end-page: 87 ident: bib0022 article-title: Deep hybrid recommender systems via exploiting document context and statistics of items publication-title: Inf. Sci. – start-page: 873 year: 2012 end-page: 882 ident: bib0020 article-title: Improving word representations via global context and multiple word prototypes publication-title: Proc. of ACL2012 – start-page: 1 year: 2002 end-page: 8 ident: bib0006 article-title: Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms publication-title: Proceedings of EMNLP 2002 – start-page: 658 year: 2016 end-page: 668 ident: bib0021 article-title: Wordrank: learning word embeddings via robust ranking publication-title: Proc. of EMNLP2016 – start-page: 430 year: 2015 end-page: 440 ident: bib0053 article-title: Learning bilingual sentiment word embeddings for cross-language sentiment classification publication-title: Proc. of ACL2015 – start-page: 748 year: 2015 end-page: 756 ident: bib0012 article-title: Bilbowa: fast bilingual distributed representations without word alignments publication-title: Proc. of ICML2015 – start-page: 1285 year: 2016 end-page: 1295 ident: bib0010 article-title: Learning crosslingual word embeddings without bilingual corpora publication-title: Proc. of EMNLP2016 – start-page: 567 year: 2015 end-page: 572 ident: bib0041 article-title: Learning cross-lingual word embeddings via matrix co-factorization publication-title: Proc. of ACL2015 – start-page: 3581 year: 2014 end-page: 3589 ident: bib0023 article-title: Semi-supervised learning with deep generative models publication-title: Proc. of NIPS2014 – volume: 9 start-page: 2579 year: 2008 end-page: 2605 ident: bib0033 article-title: Visualizing data using t-sne publication-title: J. Mach. Learn. Res. – volume: 406 start-page: 12 year: 2017 end-page: 28 ident: bib0011 article-title: Wikipedia-based cross-language text classification publication-title: Inf. Sci – volume: 24 start-page: 5659 year: 2015 end-page: 5670 ident: bib0019 article-title: Multimodal deep autoencoder for human pose recovery publication-title: IEEE Trans. Image Process. – start-page: 1478 year: 2016 end-page: 1488 ident: bib0039 article-title: Investigating language universal and specific properties in word embeddings publication-title: Proc. of ACL2016 – start-page: 2418 year: 2015 end-page: 2424 ident: bib0030 article-title: Topical word embeddings publication-title: Proc. of AAAI2015 – volume: abs/1502.04623 year: 2015 ident: bib0013 article-title: DRAW: a recurrent neural network for image generation publication-title: CoRR – start-page: 151 year: 2015 end-page: 159 ident: bib0032 article-title: Bilingual word representations with monolingual quality in mind publication-title: Proc. of NAACL2015 – year: 2015 ident: bib0043 article-title: Leveraging monolingual data for crosslingual compositional word representations publication-title: Proc. of ICLR2015 – start-page: 1282 year: 2015 end-page: 1291 ident: bib0044 article-title: Model-based word embeddings from decompositions of count matrices publication-title: Proc. of ACL2015 – reference: Y. Miao, L. Yu, P. Blunsom, Neural variational inference for text processing, Arxiv preprint. abs/1511.06038 (2015). – start-page: 1853 year: 2014 end-page: 1861 ident: bib0004 article-title: An autoencoder approach to learning bilingual word representations publication-title: Proc. of NIPS2014 – year: 2017 ident: bib0014 article-title: Cascaded convolutional neural networks for aspect-based opinion summary publication-title: Neural Process. Lett. – start-page: 1837 year: 2014 end-page: 1842 ident: bib0046 article-title: Um-corpus: a large english-chinese parallel corpus for statistical machine translation publication-title: Proc. of LREC – start-page: 58 year: 2014 end-page: 68 ident: bib0017 article-title: Multilingual models for compositional distributed semantics publication-title: Proc. of ACL2014 – start-page: 1651 year: 2016 end-page: 1660 ident: bib0007 article-title: Morphological smoothing and extrapolation of word embeddings publication-title: Proc. of ACL2016 – start-page: 1520 year: 2015 end-page: 1530 ident: bib0028 article-title: Finding function in form: compositional character models for open vocabulary word representation publication-title: Proc. of EMNLP2015 – volume: 3 start-page: 1137 year: 2003 end-page: 1155 ident: bib0001 article-title: A neural probabilistic language model publication-title: J. Mach. Learn. Res. – year: 2010 ident: bib0009 article-title: Adaptive subgradient methods for online learning and stochastic optimization publication-title: Technical report – start-page: 1393 year: 2013 end-page: 1398 ident: bib0054 article-title: Bilingual word embeddings for phrase-based machine translation publication-title: Proc. of EMNLP2013 – start-page: 19 year: 2003 end-page: 51 ident: bib0037 article-title: A systematic comparison of various statistical alignment models publication-title: Comput. Ling. – volume: 62 start-page: 3742 year: 2015 end-page: 3751 ident: bib0018 article-title: Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval publication-title: IEEE Trans. Ind. Electron. – start-page: 430 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0053 article-title: Learning bilingual sentiment word embeddings for cross-language sentiment classification – start-page: 1478 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0039 article-title: Investigating language universal and specific properties in word embeddings – volume: 406 start-page: 12 year: 2017 ident: 10.1016/j.ins.2017.09.070_bib0011 article-title: Wikipedia-based cross-language text classification publication-title: Inf. Sci doi: 10.1016/j.ins.2017.04.024 – start-page: 1109 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0008 article-title: Trans-gram, fast cross-lingual word-embeddings – start-page: 1282 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0044 article-title: Model-based word embeddings from decompositions of count matrices – start-page: 224 year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0027 article-title: Learning bilingual word representations by marginalizing alignments – volume: 9 start-page: 2579 year: 2008 ident: 10.1016/j.ins.2017.09.070_bib0033 article-title: Visualizing data using t-sne publication-title: J. Mach. Learn. Res. – start-page: 658 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0021 article-title: Wordrank: learning word embeddings via robust ranking – start-page: 2418 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0030 article-title: Topical word embeddings – start-page: 1853 year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0004 article-title: An autoencoder approach to learning bilingual word representations – year: 2010 ident: 10.1016/j.ins.2017.09.070_bib0009 article-title: Adaptive subgradient methods for online learning and stochastic optimization – year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0040 article-title: Stochastic backpropagation and approximate inference in deep generative models – year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0043 article-title: Leveraging monolingual data for crosslingual compositional word representations – year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0024 article-title: Auto-encoding variational bayes – start-page: 493 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0038 article-title: Cross-lingual word representations via spectral graph embeddings – start-page: 3581 year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0023 article-title: Semi-supervised learning with deep generative models – start-page: 1520 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0028 article-title: Finding function in form: compositional character models for open vocabulary word representation – start-page: 363 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0049 article-title: Monolingual and cross-lingual information retrieval models based on (bilingual) word embeddings – start-page: 151 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0032 article-title: Bilingual word representations with monolingual quality in mind – volume: 62 start-page: 3742 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0018 article-title: Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval publication-title: IEEE Trans. Ind. Electron. – start-page: 151 year: 2011 ident: 10.1016/j.ins.2017.09.070_bib0042 article-title: Semi-supervised recursive autoencoders for predicting sentiment distributions – start-page: 58 year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0017 article-title: Multilingual models for compositional distributed semantics – ident: 10.1016/j.ins.2017.09.070_bib0036 – year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0016 article-title: Multilingual distributed representations without word alignment – start-page: 1661 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0047 article-title: Cross-lingual models of word embeddings: an empirical comparison – volume: 3 start-page: 1137 year: 2003 ident: 10.1016/j.ins.2017.09.070_bib0001 article-title: A neural probabilistic language model publication-title: J. Mach. Learn. Res. – start-page: 19 year: 2003 ident: 10.1016/j.ins.2017.09.070_bib0037 article-title: A systematic comparison of various statistical alignment models publication-title: Comput. Ling. doi: 10.1162/089120103321337421 – start-page: 1393 year: 2013 ident: 10.1016/j.ins.2017.09.070_bib0054 article-title: Bilingual word embeddings for phrase-based machine translation – start-page: 48 year: 2003 ident: 10.1016/j.ins.2017.09.070_bib0026 article-title: Statistical phrase-based translation – volume: abs/1502.04623 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0013 article-title: DRAW: a recurrent neural network for image generation publication-title: CoRR – start-page: 1285 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0010 article-title: Learning crosslingual word embeddings without bilingual corpora – start-page: 2734 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0015 article-title: A representation learning framework for multi-source transfer parsing – start-page: 2980 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0005 article-title: A recurrent latent variable model for sequential data – ident: 10.1016/j.ins.2017.09.070_bib0002 doi: 10.7551/mitpress/7503.003.0024 – volume: 24 start-page: 5659 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0019 article-title: Multimodal deep autoencoder for human pose recovery publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2015.2487860 – start-page: 1 year: 2002 ident: 10.1016/j.ins.2017.09.070_bib0006 article-title: Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms – year: 2017 ident: 10.1016/j.ins.2017.09.070_bib0014 article-title: Cascaded convolutional neural networks for aspect-based opinion summary publication-title: Neural Process. Lett. doi: 10.1007/s11063-017-9605-7 – start-page: 1284 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0029 article-title: Learning context-sensitive word embeddings with neural tensor skip-gram mode – ident: 10.1016/j.ins.2017.09.070_bib0035 – start-page: 1837 year: 2014 ident: 10.1016/j.ins.2017.09.070_bib0046 article-title: Um-corpus: a large english-chinese parallel corpus for statistical machine translation – start-page: 1 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0051 article-title: Deep multimodal distance metric learning using click constraints for image ranking publication-title: IEEE Trans. Cybern. – start-page: 873 year: 2012 ident: 10.1016/j.ins.2017.09.070_bib0020 article-title: Improving word representations via global context and multiple word prototypes – start-page: 748 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0012 article-title: Bilbowa: fast bilingual distributed representations without word alignments – ident: 10.1016/j.ins.2017.09.070_bib0045 – start-page: 1351 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0050 article-title: Learning word meta-embeddings – start-page: 567 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0041 article-title: Learning cross-lingual word embeddings via matrix co-factorization – start-page: 719 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0048 article-title: Bilingual word embeddings from non-parallel document-aligned data applied to bilingual lexicon induction – start-page: 250 year: 2015 ident: 10.1016/j.ins.2017.09.070_bib0031 article-title: Deep multilingual correlation for improved word embeddings – start-page: 1651 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0007 article-title: Morphological smoothing and extrapolation of word embeddings – start-page: 1005 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0052 article-title: Iprivacy: image privacy protection by identifying sensitive objects via deep multi-task learning publication-title: IEEE Trans. Inf. Forensics Secur. – start-page: 490 year: 2016 ident: 10.1016/j.ins.2017.09.070_bib0003 article-title: Morphological priors for probabilistic neural word embeddings – volume: 417 start-page: 72 year: 2017 ident: 10.1016/j.ins.2017.09.070_bib0022 article-title: Deep hybrid recommender systems via exploiting document context and statistics of items publication-title: Inf. Sci. doi: 10.1016/j.ins.2017.06.026 – start-page: 1459 year: 2012 ident: 10.1016/j.ins.2017.09.070_bib0025 article-title: Inducing crosslingual distributed representations of words – ident: 10.1016/j.ins.2017.09.070_bib0034 |
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