Tree-based Convolutional Neural Networks
β Lili Mou, Zhi Jin
π Library
π
2018
π Springer
π English
β¦ LIBER β¦
π
Tree-Based Convolutional Neural Networks: Principles and Applications
β Scribed by Lili Mou, Zhi Jin
- Publisher
- Springer Singapore
- Year
- 2018
- Tongue
- English
- Leaves
- 104
- Series
- SpringerBriefs in Computer Science
- Edition
- 1st ed.
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks to their short propagation path, they are as efficient in learning as CNNs; yet they are also as structure-sensitive as RNNs.
In this book, readers will also find a comprehensive literature review of related work, detailed descriptions of TBCNNs and their variants, and experiments applied to program analysis and natural language processing tasks. It is also an enjoyable read for all those with a general interest in deep learning.
β¦ Table of Contents
Front Matter ....Pages i-xv
Introduction (Lili Mou, Zhi Jin)....Pages 1-7
Background and Related Work (Lili Mou, Zhi Jin)....Pages 9-35
General Framework of Tree-Based Convolutional Neural Networks (TBCNNs) (Lili Mou, Zhi Jin)....Pages 37-40
TBCNN for Programsβ Abstract Syntax Trees (Lili Mou, Zhi Jin)....Pages 41-57
TBCNN for Constituency Trees in Natural Language Processing (Lili Mou, Zhi Jin)....Pages 59-71
TBCNN for Dependency Trees in Natural Language Processing (Lili Mou, Zhi Jin)....Pages 73-89
Conclusion and Future Work (Lili Mou, Zhi Jin)....Pages 91-94
Back Matter ....Pages 95-96
β¦ Subjects
Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Computational Intelligence; Software Engineering
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