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Natural Language Processing and Chinese Computing

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Cover of 'Natural Language Processing and Chinese Computing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Question Answering for Technical Customer Support
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    Chapter 2 Perception and Production of Mandarin Monosyllabic Tones by Amdo Tibetan College Students
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    Chapter 3 Effective Character-Augmented Word Embedding for Machine Reading Comprehension
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    Chapter 4 Mongolian Grapheme to Phoneme Conversion by Using Hybrid Approach
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    Chapter 5 From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
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    Chapter 6 A3Net:Adversarial-and-Attention Network for Machine Reading Comprehension
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    Chapter 7 When Less Is More: Using Less Context Information to Generate Better Utterances in Group Conversations
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    Chapter 8 I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension
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    Chapter 9 Learning to Converse Emotionally Like Humans: A Conditional Variational Approach
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    Chapter 10 Response Selection of Multi-turn Conversation with Deep Neural Networks
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    Chapter 11 Learning Dialogue History for Spoken Language Understanding
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    Chapter 12 A Neural Question Generation System Based on Knowledge Base
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    Chapter 13 ProjR: Embedding Structure Diversity for Knowledge Graph Completion
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    Chapter 14 BiTCNN : A Bi-Channel Tree Convolution Based Neural Network Model for Relation Classification
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    Chapter 15 Using Entity Relation to Improve Event Detection via Attention Mechanism
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    Chapter 16 Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition
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    Chapter 17 Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction
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    Chapter 18 Distant Supervision for Relation Extraction with Neural Instance Selector
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    Chapter 19 Complex Named Entity Recognition via Deep Multi-task Learning from Scratch
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    Chapter 20 Hierarchical Attention Based Semi-supervised Network Representation Learning
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    Chapter 21 Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification
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    Chapter 22 Accelerating Graph-Based Dependency Parsing with Lock-Free Parallel Perceptron
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    Chapter 23 Memory-Based Matching Models for Multi-turn Response Selection in Retrieval-Based Chatbots
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    Chapter 24 NEUTag’s Classification System for Zhihu Questions Tagging Task
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    Chapter 25 Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
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    Chapter 26 Improved Neural Machine Translation with Chinese Phonologic Features
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    Chapter 27 Coarse-To-Fine Learning for Neural Machine Translation
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    Chapter 28 Source Segment Encoding for Neural Machine Translation
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    Chapter 29 Youdao’s Winning Solution to the NLPCC-2018 Task 2 Challenge: A Neural Machine Translation Approach to Chinese Grammatical Error Correction
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    Chapter 30 Target Extraction via Feature-Enriched Neural Networks Model
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    Chapter 31 A Novel Attention Based CNN Model for Emotion Intensity Prediction
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    Chapter 32 Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission
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    Chapter 33 Dependency Parsing and Attention Network for Aspect-Level Sentiment Classification
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    Chapter 34 Abstractive Summarization Improved by WordNet-Based Extractive Sentences
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    Chapter 35 Improving Aspect Identification with Reviews Segmentation
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    Chapter 36 Cross-Lingual Emotion Classification with Auxiliary and Attention Neural Networks
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    Chapter 37 Are Ratings Always Reliable? Discover Users’ True Feelings with Textual Reviews
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    Chapter 38 The Sogou Spoken Language Understanding System for the NLPCC 2018 Evaluation
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    Chapter 39 Improving Pointer-Generator Network with Keywords Information for Chinese Abstractive Summarization
Overall attention for this book and its chapters
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Title
Natural Language Processing and Chinese Computing
Published by
Springer International Publishing, September 2018
DOI 10.1007/978-3-319-99495-6
ISBNs
978-3-31-999494-9, 978-3-31-999495-6
Editors

Zhang, Min, Ng, Vincent, Zhao, Dongyan, Li, Sujian, Zan, Hongying

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 5 19%
Other 3 12%
Student > Doctoral Student 2 8%
Professor 1 4%
Other 1 4%
Unknown 9 35%
Readers by discipline Count As %
Computer Science 9 35%
Engineering 2 8%
Linguistics 2 8%
Arts and Humanities 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 10 38%