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Intro
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NLG EXAMPLES: WEATHER REPORTS
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NLG EXAMPLES: FINANCE
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NLG EXAMPLES: SUMMARIZATION
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NLG EXAMPLES: LANGUAGE MODELLIN
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NLG EXAMPLES: TRANSLATION
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NLG EXAMPLES: CHATBOTS
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DEEP LEARNING BASED NLG
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EXPRESSING WORDS AS TENSORS
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WORD (TOKEN) EMBEDDINGS
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LEARNING EMBEDDINGS
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BERT STRUCTURE - TRANSFORMER BLOCK
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LANGUAGE MODELLING WITH TRANSFORMERS
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GPT ARCHITECTURE & TRAINING
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WHAT IS THE DIFFERENCE
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HOW TO CREATE TEXT WITH GPT?
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NLG WITH DEEP LEARNING: PROS
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COMBINING RULES AND DL
Description:
Explore the fundamentals of Natural Language Generation (NLG) in this 49-minute conference talk from MLCon. Dive into various NLG applications, including weather reports, finance, summarization, language modeling, translation, and chatbots. Learn about deep learning-based NLG techniques, word embeddings, and the BERT structure. Understand the GPT architecture, its training process, and how to generate text using GPT models. Examine the pros of deep learning in NLG and discover ways to combine rule-based and deep learning approaches for effective natural language generation.

An Introduction to Natural Language Generation

MLCon | Machine Learning Conference
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