Concept

Syntactic ambiguity

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Modern NLP: Introduction

By Antoine Bosselut introduces Natural Language Processing and its challenges, advancements in neural models, and course goals.

Word Embeddings: Models and Applications

Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.

Word Embeddings: Glove and Semantic Relationships

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Introduction to Natural Language Processing

Introduces the basics of Natural Language Processing, covering challenges, application domains, and linguistic processing levels.

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Explains syntax trees, parse vs AST, while language syntax, AST classes, and grammar ambiguities.

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CYK Algorithm for Parsing General Grammars

Explores parsing general grammars using the CYK algorithm and Chomsky Normal Form.

CYK Parsing Algorithm for General Grammars

Introduces the CYK parsing algorithm for context-free grammars, explaining its handling of ambiguity and importance in parsing general grammars.

Grammars and Parsers: An Overview of Language Processing

Provides an overview of grammars and parsers in computer language processing.