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Semantics and Information Extraction

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Lexical semantics (WordNet, distributional semantics)

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1 of 5 Lessons

Word embeddings (Word2Vec, GloVe, FastText)

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2 of 5 Lessons

Named Entity Recognition (NER)

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3 of 5 Lessons

Relation extraction and coreference resolution

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4 of 5 Lessons

Semantic role labeling

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5 of 5 Lessons

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Semantics and Information Extraction - Natural Language Processing | M.Tech Computer Science