Chapter 24

Chapter 24 sections from Deep Learning with PyTorch.

7 items

Sections

  1. 24.1 Text Classification
  2. 24.2 Named Entity Recognition
  3. 24.3 Question Answering
  4. 24.4 Summarization
  5. 24.5 Information Retrieval
  6. 24.6 Dialogue Systems
  7. 24.7 Cross-Lingual Transfer
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Text Classification

Text classification is the task of assigning one or more labels to a piece of text.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Named Entity Recognition

Named entity recognition, or NER, is the task of finding spans of text that refer to entities and assigning each span a type.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Question Answering

Question answering is the task of producing an answer to a question. The input may contain only the question, or it may contain both a question and one or more passages that may contain the answer.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Summarization

Summarization is the task of producing a shorter version of one or more source texts while preserving the important information.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Information Retrieval

Information retrieval is the task of finding relevant items from a collection in response to a query.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Dialogue Systems

A dialogue system is a model or collection of models that interacts with users through natural language.
deep-learning pytorch
Writes › Book › Deep Learning with PyTorch › Part VII › Chapter 24 ›

Cross-Lingual Transfer

Cross-lingual transfer is the ability of a model trained or adapted in one language to work in another language.
deep-learning pytorch