Lecture 16 – Natural Language Processing Exam Questions
This Natural Language Processing question bank is designed for BS Computing students following the NCEAC syllabus. Here you will find 100 MCQs,…
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Category: Natural Language Processing
Lecture 15 – Text summarization in Natural Language Processing
Extractive and abstractive text summarization techniques with examples and evaluation metrics like ROUGE. As the volume of digital text continues to grow,…
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Lecture 14 – Question answering in Natural Language Processing
How question answering systems work, from information retrieval based pipelines to modern neural approaches in Natural Language Processing. Question answering systems aim…
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Lecture 13 – Machine Translation in Natural Language Processing. From Rule Based to Neural
How machine translation evolved from rule based and statistical methods to modern neural MT with attention. Automatic translation of human languages is…
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Lecture 12 – Information Extraction and Relation Extraction
Explore information extraction, named entity recognition and relation extraction using dependency and constituency grammars. Most text on the web is unstructured. Articles,…
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Lecture 11 – Information Retrieval, Vector Space Model and Evaluation
Understand information retrieval basics, vector space model, cosine similarity and evaluation using precision and recall. Search is one of the most visible…
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