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Working in a hands-on learning environment, led by our Building Domain Specific Language Models expert instructor, students will learn about and explore: Starting with building n-gram language models, which will serve as a baseline for performance evaluations,moving on to a more complex modeling technique based on RNNs, finally, using state-of-the-art language model building with the AllenNLP framework. The AllenNLP framework helps you design and evaluate deep-learning models for nearly any NLP problem.

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Unlimited Duration

Last Updated

February 4, 2021

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Course Description

In this course, you will be taking on the role of an NLP data scientist at Stack Exchange, a network of question-and-answer (Q&A) websites on topics in diverse fields. Stack Exchange has over 10M registered users and is best known for its flagship websites Stack Overflow or Ask Ubuntu. You will build statistics-focused language models using gradually more complex methods. You will evaluate and apply these models to the tasks of:

  • Query completion
  • Larger text generation
  • Sentence selection

At the end of this course, you will be able to build the foundations of any domain-specific NLP system by creating the most a robust and efficient language model.

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Course Curriculum

    • Loading and Preparing the Dataset 00:00:00
    • Regular Expressions 00:00:00
    • Tokenization 00:00:00
    • Submit Your Work 00:00:00
    • N-gram Language Model 00:00:00
    • Building Your Vocabulary with a Tokenizer 00:00:00
    • Submit Your Work 00:00:00
    • Deep Learning Language Model 00:00:00
    • Deep Learning for Text and Sequences 00:00:00
    • Sequential NLP and Memory 00:00:00
    • Submit Your Work 00:00:00
    • Character-based Language Model with AllenNLP 00:00:00
    • Sequential Labeling and Language Modeling 00:00:00
    • Submit Your Work 00:00:00

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