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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...

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Bibliographic Details
Main Authors: Mou, Lili, Jin, Zhi (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2018, 2018
Edition:1st ed. 2018
Series:SpringerBriefs in Computer Science
Subjects:
Software Engineering
Computational Intelligence
Artificial Intelligence
Data Mining
Data Mining And Knowledge Discovery
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

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