|
 |
|
 |
|
|
 |
|
 |
|
 Название: Formal Analysis for Natural Language Processing: A Handbook
Автор: Zhiwei Feng
Издательство: Springer
Год: 2023
Страниц: 802
Язык: английский
Формат: pdf (true), epub
Размер: 52.4 MB
The field of Natural Language Processing (NLP) is one of the most important and useful application areas of Artificial Intelligence (AI). NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for Natural Language Processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in Natural Language Processing.
At a time characterized by the steady and vigorous growth of Natural Language Processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on Natural Language Processing or computational linguistics, or as a supplement to courses on Artificial Intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.
Having been widely used in NLP in recent years, neural networks and Deep Learning have gradually become the mainstream technology in NLP research. Therefore, this chapter will present some details about models based on neural networks and Deep Learning, including the evolution of neural networks, neural networks of our brain, artificial neural networks, Machine Learning, Deep Learning, word vectors, word embedding, dense word vectors, perceptrons, feedforward neural networks, convolutional neural networks, recurrent neural networks, attention mechanisms, external memory, and pretrained models (such as Transformer and BERT).
Contents:
Part I. History Review
1. Past and Present of Natural Language Processing
2. Pioneers in the Study of Language Computing
Part II. Formal Models
3. Formal Models Based on Phrase Structure Grammar
4. Formal Models Based on Unification
5. Formal Models Based on Dependency and Valence
6. Formal Models Based on Lexicalism
7. Formal Models of Automatic Semantic Processing
8. Formal Models of Automatic Situation and Pragmatic Processing
9. Formal Models of Discourse Analysis
10. Formal Models of Probabilistic Grammar
11. Formal Models of Neural Network and Deep Learning
12. Knowledge Graphs
13. Concluding Remarks
Скачать Formal Analysis for Natural Language Processing: A Handbook
|
Автор: Ingvar16 10-05-2023, 19:37 | Напечатать |
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
С этой публикацией часто скачивают:
|
|
| |
|
| |
|
|
 |
Speech and Language Processing Название: Speech and Language Processing Автор: Daniel Jurafsky, James Martin Издательство: Prentice Hall Год: 2008 Формат: pdf Страниц: 1044 Размер:... |
|
| |
|
|
|
|
|
 |
|
 |
|
|
|
|
|
|
|
|
|
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.
|
|
|
|
|
|
Навигация
Вход на сайт
Реклама
Formal Analysis for Natural Language Processing: A Handbook 
