Tree-Based Convolutional Neural Networks Principles and Applications
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 p...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Singapore
Springer Nature Singapore
2018, 2018
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Edition: | 1st ed. 2018 |
Series: | SpringerBriefs in Computer Science
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Preliminaries and Related Work
- General Concepts of Tree-Based Convolutional Neural Networks (TBCNNs)
- TBCNN for Programs’ Abstract Syntax Trees (ASTs)
- TBCNN for Constituency Trees in Natural Language Processing
- TBCNN for Dependency Trees in Natural Language Processing
- Concluding Remarks