Abstract
In this book we have introduced methods for finding representations of natural language. A special focus of this book is on neural networks and related technologies. Neural networks elegantly produce useful representations as by-products, when applied to NLP tasks. We have introduced recent advances in neural networks, in particular, various forms of recurrent neural networks, and have covered techniques for working with words, word senses, and larger structures such as phrases, sentences and documents.
The key to artificial intelligence has always been the representation. You and I are streaming data engines
Jeff Hawkins 2012
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References
Bolukbasi, Tolga, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam T. Kalai. 2016. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In Advances in neural information processing systems, 4349–4357.
Caliskan, Aylin, Joanna J. Bryson, and Arvind Narayanan. 2017. Semantics derived automatically from language corpora contain human-like biases. Science356 (6334), 183–186. ISSN: 0036-8075, https://doi.org/10.1126/science.aal4230, http://science.sciencemag.org/content/356/6334/183.full.pdf.
Chen, Tianqi and Carlos Guestrin. 2016. Xgboost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, 785–794. ACM.
Cortes, Corinna and Vladimir Vapnik. 1995. Support-vector networks. Machine Learning 20 (3): 273–297. ISSN: 1573-0565, https://doi.org/10.1007/BF00994018.
Siddique, Farhad Bin, Onno Kampman, Yang Yang, Anik Dey, and Pascale Fung. 2017. Zara returns: Improved personality induction and adaptation by an empathetic virtual agent. In Proceedings of ACL 2017, system demonstrations, 121–126.
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White, L., Togneri, R., Liu, W., Bennamoun, M. (2019). Conclusion. In: Neural Representations of Natural Language. Studies in Computational Intelligence, vol 783. Springer, Singapore. https://doi.org/10.1007/978-981-13-0062-2_6
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DOI: https://doi.org/10.1007/978-981-13-0062-2_6
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