Neural Network Methods for Natural Language Processing (Record no. 85012)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 04146nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-02165-7 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730163825.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031021657 |
| -- | 978-3-031-02165-7 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Goldberg, Yoav. |
| 245 10 - TITLE STATEMENT | |
| Title | Neural Network Methods for Natural Language Processing |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | CCXCII, 20 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Human Language Technologies, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02165-7 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Natural language processing (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational linguistics. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Natural Language Processing (NLP). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Linguistics. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1947-4059 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
No items available.