You might also like

More about Representation Learning for Natural Language Processing

• Book details
• Synopsis
• Trending among others

You get 100 loyalty points

Book synopsis

This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Representation Learning for Natural Language Processing
• Author: Zhiyuan Liu, Yankai Lin, Maosong Sun
• Language: English
• Binding: Paperback
• Number of pages: 544
• EAN: 9789819916023
• ID: 43053801
• Publisher: Springer, Berlin
• Weight: 752 g
• Dimensions: 235 × 155 mm
• Date of publishing: 13. August 2023

Trending among others

---

---

---