Results 311 to 320 of about 2,639,905 (339)

Recent Trends in Deep Learning Based Natural Language Processing

IEEE Computational Intelligence Magazine, 2017
Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains.
Tom Young, Devamanyu Hazarika, Soujanya Poria, E. Cambria   +3 more
semanticscholar   +1 more source

Pre-trained models for natural language processing: A survey

Science China Technological Sciences, 2020
Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP.
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang   +5 more
semanticscholar   +1 more source

Book Reviews: Foundations of Statistical Natural Language Processing

International Conference on Computational Logic, 1999
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear.
Christopher D. Manning, Hinrich Schütze
semanticscholar   +1 more source

Retrieval-Augmented Generation for Natural Language Processing: A Survey

arXiv.org
Large language models (LLMs) have demonstrated great success in various fields, benefiting from their huge amount of parameters that store knowledge. However, LLMs still suffer from several key issues, such as hallucination problems, knowledge update ...
Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, C. Xue   +10 more
semanticscholar   +1 more source

Natural Language Processing for Dialects of a Language: A Survey

ACM Computing Surveys
State-of-the-art natural language processing (NLP) models are trained on massive training corpora, and report a superlative performance on evaluation datasets.
Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold   +6 more
semanticscholar   +1 more source

A unified architecture for natural language processing: deep neural networks with multitask learning

International Conference on Machine Learning, 2008
R. Collobert, J. Weston
semanticscholar   +1 more source

Foundations of Statistical Natural Language Processing

Information retrieval (Boston), 2001
P. Kantor
semanticscholar   +1 more source

Large language models in medicine

Nature Medicine, 2023
Arun James Thirunavukarasu
exaly  

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

ACM Computing Surveys, 2023

exaly  

Survey of Hallucination in Natural Language Generation

ACM Computing Surveys, 2023
Ziwei Ji
exaly