Author : Gurpreet Kaur 1
Date of Publication :10th October 2019
Abstract: The paper context is about Natural language processing, why NLP is Important? It’s the science that deals with human to machine communications, advanced and powerful algorithms. It has wide area of applications in different areas Education, Automotive, virtual assistant, Healthcare, customer support with speech to text conversions, Machine Translations, Grammar checking, Text classification and categorization, Question Answering etc. This works with its different components like Natural language Understanding and Natural Language Generation.
Reference :
-
- https://machinelearningmastery.com/applications-ofdeep-learning-for-natural-language-processing/
- https://www.wonderflow.co/blog/natural-languageprocessing-examples
- https://witanworld.com/blog/2018/10/28/naturallangua geprocessing-nlp/
- https://www.twinword.com/blog/some-commonapplications-of-natural-language-processing/
- Ann Copestake, “Natural Language Processing”, https://www.cl.cam.ac.uk/teaching/2002/NatLangProc/rev ised.pdf
- Ronan Collobert and Jason Weston, “Natural Language Processing (Almost) from Scratch”, Journal of Machine Learning Research 12 (2011) pp. 2493-2537
- https://chatbotsmagazine.com/does-a-bot-need-naturallanguage-processing-c2f76ab7ef11
- John E.Kelly, “Smart Machine-IBM’S Watson And The Era of Cognitive Computing” 2013.
- P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol. Extracting and composing robust features with denoising autoencoders. In Proceedings of the 25th international conference on Machine learning, pages 1096–1103. ACM, 2008
- A. Rahman and V. Ng. Resolving complex cases of definite pronouns: the winograd schema challenge. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 777– 789. Association for Computational Linguistics, 2012.
- https://learning.maxtech4u.com/introduction-naturallanguage-processing/
- http://www.scientificpsychic.com/computers/artificialintelligence.html
- S.Chaturvedi, H.Peng, and D.Roth. Story comprehension for predicting what happens next. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- https://labs.eleks.com/2018/02/how-to-build-nlpengine-that-wont-screw-up.html
- https://www.learntek.org/blog/natural-language processing-applications/