Fetching the paper…
Reading the bibliography…
Modern NLP applications have enjoyed a great boost utilizing neural networks models.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
Adversarial training for unsupervised bilingual lexicon induction
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017 · 1970
Earlier work this paper cites.
Inducing multilingual text analysis tools via robust projection across aligned corpora
D. Yarowsky, G. Ngai, and R. Wicentowski. 2001 · 2001
Earlier work this paper cites.
Introduction to the conll-2002 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2002 · 2002
Earlier work this paper cites.
Cross-lingual text categorization
Nuria Bel, Cornelis H. A. Koster, and Marta Villegas. 2003 · 2003
Earlier work this paper cites.
Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
Earlier work this paper cites.
Domain adaptation with multiple sources
Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh. 2009 · 2009
Earlier work this paper cites.
Co-training for cross-lingual sentiment classification
Xiaojun Wan. 2009 · 2009
Earlier work this paper cites.
Cross-language text classification using structural correspondence learning
Peter Prettenhofer and Benno Stein. 2010 · 2010
Earlier work this paper cites.
Multi-source transfer of delexicalized dependency parsers
Ryan McDonald, Slav Petrov, and Keith Hall. 2011 · 2011
Earlier work this paper cites.
Inducing crosslingual distributed representations of words
Alexandre Klementiev, Ivan Titov, and Binod Bhattarai. 2012 · 2012
Earlier work this paper cites.
Selective sharing for multilingual dependency parsing
Tahira Naseem, Regina Barzilay, and Amir Globerson. 2012 · 2012
Earlier work this paper cites.
Cross-lingual word clusters for direct transfer of linguistic structure
Oscar Täckström, Ryan McDonald, and Jakob Uszkoreit. 2012 · 2012
Earlier work this paper cites.
Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V. Le, and Ilya Sutskever. 2013 · 2013
Earlier work this paper cites.
Learning multilingual named entity recognition from wikipedia
Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, and James R. Curran. 2013 · 2013
Earlier work this paper cites.
Target language adaptation of discriminative transfer parsers
Oscar Täckström, Ryan McDonald, and Joakim Nivre. 2013 · 2013
Earlier work this paper cites.
Semi-supervised representation learning for cross-lingual text classification
Min Xiao and Yuhong Guo. 2013 · 2013
Earlier work this paper cites.
Bilingual word embeddings for phrase-based machine translation
Will Y. Zou, Richard Socher, Daniel Cer, and Christopher D. Manning. 2013 · 2013
Earlier work this paper cites.
Learning character-level representations for part-of-speech tagging
Cícero Nogueira Dos Santos and Bianca Zadrozny. 2014 · 2014
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Combination of multi-view multi-source language classifiers for cross-lingual sentiment classification
Mohammad Sadegh Hajmohammadi, Roliana Ibrahim, Ali Selamat, and Alireza Yousefpour. 2014 · 2014
Cited alongside, same era.
Opinion mining with deep recurrent neural networks
Ozan İrsoy and Claire Cardie. 2014 · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Cited alongside, same era.
Universal dependencies 2.0 – CoNLL 2017 shared task development and test data
Joakim Nivre, Željko Agić, Lars Ahrenberg, Lene Antonsen, Maria Jesus Aranzabe, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, Elena Badmaeva, Miguel Ballesteros, Esha Banerjee, Sebastian Bank, John Bauer, Kepa Bengoetxea, Riyaz Ahmad Bhat, Eckhard Bick, Cristina Bosco, Gosse Bouma, Sam Bowman, Aljoscha Burchardt, Marie Candito, Gauthier Caron, Gülşen Cebiroğlu Eryiğit, Giuseppe G. A. Celano, Savas Cetin, Fabricio Chalub, Jinho Choi, Yongseok Cho, Silvie Cinková, Çağrı Çöltekin, Miriam Connor, Marie-Catherine de Marneffe, Valeria de Paiva, Arantza Diaz de Ilarraza, Kaja Dobrovoljc, Timothy Dozat, Kira Droganova, Marhaba Eli, Ali Elkahky, Tomaž Erjavec, Richárd Farkas, Hector Fernandez Alcalde, Jennifer Foster, Cláudia Freitas, Katarína Gajdošová, Daniel Galbraith, Marcos Garcia, Filip Ginter, Iakes Goenaga, Koldo Gojenola, Memduh Gökırmak, Yoav Goldberg, Xavier Gómez Guinovart, Berta Gonzáles Saavedra, Matias Grioni, Normunds Grūzītis, Bruno Guillaume, Nizar Habash, Jan Hajič, Jan Hajič jr., Linh Hà Mỹ, Kim Harris, Dag Haug, Barbora Hladká, Jaroslava Hlaváčová, Petter Hohle, Radu Ion, Elena Irimia, Anders Johannsen, Fredrik Jørgensen, Hüner Kaşıkara, Hiroshi Kanayama, Jenna Kanerva, Tolga Kayadelen, Václava Kettnerová, Jesse Kirchner, Natalia Kotsyba, Simon Krek, Sookyoung Kwak, Veronika Laippala, Lorenzo Lambertino, Tatiana Lando, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Cheuk Ying Li, Josie Li, Nikola Ljubešić, Olga Loginova, Olga Lyashevskaya, Teresa Lynn, Vivien Macketanz, Aibek Makazhanov, Michael Mandl, Christopher Manning, Ruli Manurung, Cătălina Mărănduc, David Mareček, Katrin Marheinecke, Héctor Martínez Alonso, André Martins, Jan Mašek, Yuji Matsumoto, Ryan McDonald, Gustavo Mendonça, Anna Missilä, Verginica Mititelu, Yusuke Miyao, Simonetta Montemagni, Amir More, Laura Moreno Romero, Shunsuke Mori, Bohdan Moskalevskyi, Kadri Muischnek, Nina Mustafina, Kaili Müürisep, Pinkey Nainwani, Anna Nedoluzhko, Lương Nguyễn Thị, Huyền Nguyễn Thị Minh, Vitaly Nikolaev, Rattima Nitisaroj, Hanna Nurmi, Stina Ojala, Petya Osenova, Lilja Øvrelid, Elena Pascual, Marco Passarotti, Cenel-Augusto Perez, Guy Perrier, Slav Petrov, Jussi Piitulainen, Emily Pitler, Barbara Plank, Martin Popel, Lauma Pretkalniņa, Prokopis Prokopidis, Tiina Puolakainen, Sampo Pyysalo, Alexandre Rademaker, Livy Real, Siva Reddy, Georg Rehm, Larissa Rinaldi, Laura Rituma, Rudolf Rosa, Davide Rovati, Shadi Saleh, Manuela Sanguinetti, Baiba Saulīte, Yanin Sawanakunanon, Sebastian Schuster, Djamé Seddah, Wolfgang Seeker, Mojgan Seraji, Lena Shakurova, Mo Shen, Atsuko Shimada, Muh Shohibussirri, Natalia Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Kiril Simov, Aaron Smith, Antonio Stella, Jana Strnadová, Alane Suhr, Umut Sulubacak, Zsolt Szántó, Dima Taji, Takaaki Tanaka, Trond Trosterud, Anna Trukhina, Reut Tsarfaty, Francis Tyers, Sumire Uematsu, Zdeňka Urešová, Larraitz Uria, Hans Uszkoreit, Gertjan van Noord, Viktor Varga, Veronika Vincze, Jonathan North Washington, Zhuoran Yu, Zdeněk Žabokrtský, Daniel Zeman, and Hanzhi Zhu. 2017 · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Diederik Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Learning distributed representations for multilingual text sequences
Hieu Pham, Minh-Thang Luong, and Christopher Manning. 2015 · 2015
Cited alongside, same era.
Hierarchical low-rank tensors for multilingual transfer parsing
Yuan Zhang and Regina Barzilay. 2015 · 2015
Cited alongside, same era.
Domain separation networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan. 2016 · 2016
Cited alongside, same era.
Adversarial deep averaging networks for cross-lingual sentiment classification
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, and Kilian Weinberger. 2016 · 2016
Cited alongside, same era.
A representation learning framework for multi-source transfer parsing
Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, and Ting Liu. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean. 2017 · 2017
Later among the works it cites.
Towards a universal sentiment classifier in multiple languages
Kui Xu and Xiaojun Wan. 2017 · 2017
Later among the works it cites.
Cross-lingual distillation for text classification
Ruochen Xu and Yiming Yang. 2017 · 2017
Later among the works it cites.
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018 · 2018
Closest in time.
Multinomial adversarial networks for multi-domain text classification
Xilun Chen and Claire Cardie. 2018a · 2018
Closest in time.
Unsupervised multilingual word embeddings
Xilun Chen and Claire Cardie. 2018b · 2018
Closest in time.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Closest in time.
Universal neural machine translation for extremely low resource languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O.K. Li. 2018 · 2018
Closest in time.
Multi-source domain adaptation with mixture of experts
Jiang Guo, Darsh Shah, and Regina Barzilay. 2018 · 2018
Closest in time.
Word translation without parallel data
Guillaume Lample, Alexis Conneau, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2018 · 2018
Closest in time.
On the limitations of unsupervised bilingual dictionary induction
Anders Søgaard, Sebastian Ruder, and Ivan Vulić. 2018 · 2018
Closest in time.
(almost) zero-shot cross-lingual spoken language understanding
Shyam Upadhyay, Manaal Faruqui, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck. 2018 · 2018
Closest in time.
Neural cross-lingual named entity recognition with minimal resources
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, and Jaime Carbonell. 2018 · 2018
Closest in time.
Adversarial multiple source domain adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P Costeira, and Geoffrey J Gordon. 2018 · 2018
Closest in time.
Latent multi-task architecture learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, and Anders Søgaard. 2019 · 2019
Closest in time.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
Closest in time.