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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
July 29, 2021
Students Enrolled
20
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Certification
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
Course Curriculum
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- Loading and Preparing the Dataset 00:00:00
- Regular Expressions 00:00:00
- Tokenization 00:00:00
- Submit Your Work 00:00:00
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- 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
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