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CMU Advanced NLP 2021 - Conditional Generation

Graham Neubig via YouTube

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Overview

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This advanced lecture explains conditional language models and generation, including encoder-decoder architectures, search and sampling methods, ensembling, applications, and evaluation.

Syllabus

Intro
Conditional Language Models
Formulation
Transformation
Sampling
ancestral sampling
arg max
beam search
model ensembling
different architectures
Translation
Summarization
Dialogue Response Generation
Evaluation
Blue and Rouge
Evaluation Metrics
Unsupervised Metrics

Taught by

Graham Neubig

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