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· 제목 : Neural Network Methods in Natural Language Processing (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 자연 언어 처리(NPL)
· ISBN : 9781627052986
· 쪽수 : 310쪽
· 출판일 : 2017-04-17
· 분류 : 외국도서 > 컴퓨터 > 자연 언어 처리(NPL)
· ISBN : 9781627052986
· 쪽수 : 310쪽
· 출판일 : 2017-04-17
목차
- Preface
- Acknowledgments
- Introduction
- Learning Basics and Linear Models
- Learning Basics and Linear Models
- From Linear Models to Multi-layer Perceptrons
- Feed-forward Neural Networks
- Neural Network Training
- Features for Textual Data
- Case Studies of NLP Features
- From Textual Features to Inputs
- Language Modeling
- Pre-trained Word Representations
- Pre-trained Word Representations
- Using Word Embeddings
- Case Study: A Feed-forward Architecture for Sentence
- Case Study: A Feed-forward Architecture for Sentence Meaning Inference
- Ngram Detectors: Convolutional Neural Networks
- Recurrent Neural Networks: Modeling Sequences and Stacks
- Concrete Recurrent Neural Network Architectures
- Modeling with Recurrent Networks
- Modeling with Recurrent Networks
- Conditioned Generation
- Modeling Trees with Recursive Neural Networks
- Modeling Trees with Recursive Neural Networks
- Structured Output Prediction
- Cascaded, Multi-task and Semi-supervised Learning
- Conclusion
- Bibliography
- Author's Biography
