Imagem da capa

Knowledge-augmented Methods for Natural Language Processing

Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Principais autores: Jiang, Meng (Autor), Lin, Bill Yuchen (Autor), Wang, Shuohang (Autor), Xu, Yichong (Autor), Yu, Wenhao (Autor), Zhu, Chenguang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Recurso Eletrônico livro eletrônico
Idioma:inglês
Publicado em: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edição:1st ed. 2024.
coleção:SpringerBriefs in Computer Science,
Assuntos:
Natural language processing (Computer science).
Computational linguistics.
Data mining.
Natural Language Processing (NLP).
Computational Linguistics.
Data Mining and Knowledge Discovery.
Acesso em linha:https://doi.org/10.1007/978-981-97-0747-8
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
Sumário:
  • Chapter 1. Introduction to Knowledge-augmented NLP
  • Chapter 2. Knowledge Sources
  • Chapter 3. Knowledge-augmented Methods for Natural Language Understanding
  • Chapter 4. Knowledge-augmented Methods for Natural Language Generation
  • Chapter 5. Augmenting NLP Models with Commonsense Knowledge
  • Chapter 6. Summary and Future Directions.

Registros relacionados