CLFeb 7, 2021
Representation Learning for Natural Language Processing
arXiv:2102.03732v116 citations
Originality Synthesis-oriented
AI Analysis
This book addresses the problem of understanding representation learning in NLP for researchers and practitioners, providing a comprehensive review of the field.
This book reviews recent advances in distributed representation learning for Natural Language Processing (NLP). It explores the reasons behind the improvements representation learning brings to NLP, its role in various NLP topics, and remaining challenges.
This book aims to review and present the recent advances of distributed representation learning for NLP, including why representation learning can improve NLP, how representation learning takes part in various important topics of NLP, and what challenges are still not well addressed by distributed representation.