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  1. 21
    by Porzel, Robert
    Published 2011
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    Contextual computing : models and applications /
  2. 22
    by Ramisch, Carlos
    Published 2014
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    Multiword expressions acquisition : a generic and open framework /
  3. 23
    by Reese, Richard M.
    Published 2019
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    Natural language processing with Java cookbook : over 70 recipes to create linguistic and language translation applications using Java libraries /
  4. 24
    by Bokka, Karthiek Reddy
    Published 2019
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    Deep learning for natural language processing : solve your natural language processing problems with smart deep neural networks /
  5. 25
    Ethesis
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    Named entity recognition with deep learning: [a thesis submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Computer and Information Sciences (MCIS), 2019] /
  6. 26
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    Automatic detection of irony : opinion mining in microblogs and social media /
  7. 27
    by Ilievski, Filip, 1991-
    Published 2019
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    Identity of long-tail entities in text /
  8. 28
    Ethesis
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    Performance evaluation for Universal Grammar Engine : a dissertation submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Computer and Information Sciences (MCIS), 2011 /
  9. 29
    by Kedia, Aman, Rasu, Mayank
    Published 2020
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    Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
  10. 30
    Ethesis
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    Author identification in free texts: [a thesis submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Computer and Information Sciences (MCIS), 2020] /
  11. 31
    by Liu, Zhiyuan, Lin, Yankai, Sun, Maosong
    Published 2020
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    Representation learning for natural language processing /
  12. 32
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    The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
  13. 33
    by Chopra, Rohan
    Published 2020
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    The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
  14. 34
    by Ravichandiran, Sudharsan
    Published 2021
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    Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /
  15. 35
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    Machine reading comprehension : algorithms and practice /
  16. 36
    Published 2021
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    Natural language processing /
  17. 37
    by Altinok, Duygu
    Published 2021
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    Mastering SpaCy : an end-to-end practical guide to implementing NLP applications using the Python ecosystem /
  18. 38
    by Tingiris, Steve
    Published 2021
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    Exploring GPT-3 : an unofficial first look at the general-purpose language processing API from OpenAI /
  19. 39
    by Yıldırım, Savaş
    Published 2021
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    build state-of-the-art models from scratch with advanced natural language processing techniques /
  20. 40
    by Kong, Xiaoquan, Wang, Guan
    Published 2021
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    Conversational AI with Rasa : build, automate, and deploy AI-powered text and voice-based assistants and chatbots /
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