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Natural Language Understanding and Intelligent Applications

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Cover of 'Natural Language Understanding and Intelligent Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Integrating Structural Context with Local Context for Disambiguating Word Senses
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    Chapter 2 Tibetan Multi-word Expressions Identification Framework Based on News Corpora
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    Chapter 3 Building Powerful Dependency Parsers for Resource-Poor Languages
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    Chapter 4 Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification
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    Chapter 5 Syntactic Categorization and Semantic Interpretation of Chinese Nominal Compounds
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    Chapter 6 TDSS: A New Word Sense Representation Framework for Information Retrieval
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    Chapter 7 A Word Vector Representation Based Method for New Words Discovery in Massive Text
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    Chapter 8 Better Addressing Word Deletion for Statistical Machine Translation
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    Chapter 9 A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT
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    Chapter 10 Bilingual Parallel Active Learning Between Chinese and English
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    Chapter 11 Study on the English Corresponding Unit of Chinese Clause
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    Chapter 12 Research for Uyghur-Chinese Neural Machine Translation
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    Chapter 13 MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance
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    Chapter 14 Automatic Long Sentence Segmentation for Neural Machine Translation
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    Chapter 15 Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN
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    Chapter 16 Multi-task Learning for Gender and Age Prediction on Chinese Microblog
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    Chapter 17 Dropout Non-negative Matrix Factorization for Independent Feature Learning
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    Chapter 18 Analysing the Semantic Change Based on Word Embedding
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    Chapter 19 Learning Word Sense Embeddings from Word Sense Definitions
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    Chapter 20 Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition
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    Chapter 21 Improving First Order Temporal Fact Extraction with Unreliable Data
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    Chapter 22 Reducing Human Effort in Named Entity Corpus Construction Based on Ensemble Learning and Annotation Categorization
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    Chapter 23 A Convolution BiLSTM Neural Network Model for Chinese Event Extraction
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    Chapter 24 Detection of Entity Mixture in Knowledge Bases Using Hierarchical Clustering
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    Chapter 25 Knowledge Base Question Answering Based on Deep Learning Models
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    Chapter 26 An Open Domain Topic Prediction Model for Answer Selection
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    Chapter 27 Joint Event Extraction Based on Skip-Window Convolutional Neural Networks
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    Chapter 28 Improving Collaborative Filtering with Long-Short Interest Model
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    Chapter 29 Leveraging Hierarchical Deep Semantics to Classify Implicit Discourse Relations via Mutual Learning Method
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    Chapter 30 Transition-Based Discourse Parsing with Multilayer Stack Long Short Term Memory
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    Chapter 31 Predicting Implicit Discourse Relation with Multi-view Modeling and Effective Representation Learning
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    Chapter 32 A CDT-Styled End-to-End Chinese Discourse Parser
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    Chapter 33 Events Detection and Temporal Analysis in Social Media
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    Chapter 34 Discovering Concept-Level Event Associations from a Text Stream
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    Chapter 35 A User Adaptive Model for Followee Recommendation on Twitter
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    Chapter 36 Who Will Tweet More? Finding Information Feeders in Twitter
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    Chapter 37 Discrete and Neural Models for Chinese POS Tagging: Comparison and Combination
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    Chapter 38 Improving Word Vector with Prior Knowledge in Semantic Dictionary
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    Chapter 39 Adapting Attention-Based Neural Network to Low-Resource Mongolian-Chinese Machine Translation
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    Chapter 40 Sentence Similarity on Structural Representations
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    Chapter 41 Word Sense Disambiguation Using Context Translation
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    Chapter 42 Cyrillic Mongolian Named Entity Recognition with Rich Features
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    Chapter 43 Purchase Prediction via Machine Learning in Mobile Commerce
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    Chapter 44 Exploring Long Tail Data in Distantly Supervised Relation Extraction
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    Chapter 45 Detecting Potential Adverse Drug Reactions from Health-Related Social Networks
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    Chapter 46 Iterative Integration of Unsupervised Features for Chinese Dependency Parsing
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    Chapter 47 Can We Neglect Function Words in Word Embedding?
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    Chapter 48 A Similarity Algorithm Based on the Generality and Individuality of Words
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    Chapter 49 An Improved Information Gain Algorithm Based on Relative Document Frequency Distribution
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    Chapter 50 Finding the True Crowds: User Filtering in Microblogs
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    Chapter 51 Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network
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    Chapter 52 Sentiment Classification of Social Media Text Considering User Attributes
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    Chapter 53 Learning from User Feedback for Machine Translation in Real-Time
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    Chapter 54 GuideRank: A Guided Ranking Graph Model for Multilingual Multi-document Summarization
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    Chapter 55 Fast-Syntax-Matching-Based Japanese-Chinese Limited Machine Translation
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    Chapter 56 Value at Risk for Risk Evaluation in Information Retrieval
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    Chapter 57 Chinese Paraphrases Acquisition Based on Random Walk N Step
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    Chapter 58 A Micro-topic Model for Coreference Resolution Based on Theme-Rheme Structure
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    Chapter 59 Learning from LDA Using Deep Neural Networks
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    Chapter 60 Relation Classification: CNN or RNN?
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    Chapter 61 Ensemble of Feature Sets and Classification Methods for Stance Detection
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    Chapter 62 Exploiting External Knowledge and Entity Relationship for Entity Search
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    Chapter 63 A Flexible and Sentiment-Aware Framework for Entity Search
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    Chapter 64 Word Segmentation on Micro-Blog Texts with External Lexicon and Heterogeneous Data
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    Chapter 65 Open Domain Question Answering System Based on Knowledge Base
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    Chapter 66 Recurrent Neural Word Segmentation with Tag Inference
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    Chapter 67 Chinese Word Similarity Computing Based on Combination Strategy
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    Chapter 68 An Empirical Study on Chinese Microblog Stance Detection Using Supervised and Semi-supervised Machine Learning Methods
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    Chapter 69 Combining Word Embedding and Semantic Lexicon for Chinese Word Similarity Computation
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    Chapter 70 Football News Generation from Chinese Live Webcast Script
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    Chapter 71 Convolutional Deep Neural Networks for Document-Based Question Answering
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    Chapter 72 Research on Summary Sentences Extraction Oriented to Live Sports Text
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    Chapter 73 Statistical Entity Ranking with Domain Knowledge
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    Chapter 74 Study on the Method of Precise Entity Search Based on Baidu’s Query
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    Chapter 75 Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Similarity Measurement
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    Chapter 76 Exploring Various Linguistic Features for Stance Detection
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    Chapter 77 Overview of Baidu Cup 2016: Challenge on Entity Search
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    Chapter 78 A Feature-Rich CRF Segmenter for Chinese Micro-Blog
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    Chapter 79 NLPCC 2016 Shared Task Chinese Words Similarity Measure via Ensemble Learning Based on Multiple Resources
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    Chapter 80 Overview of the NLPCC-ICCPOL 2016 Shared Task: Sports News Generation from Live Webcast Scripts
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    Chapter 81 Sports News Generation from Live Webcast Scripts Based on Rules and Templates
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    Chapter 82 A Deep Learning Approach for Question Answering Over Knowledge Base
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    Chapter 83 Stance Detection in Chinese MicroBlogs with Neural Networks
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    Chapter 84 Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts
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    Chapter 85 Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs
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    Chapter 86 Combining Deep Learning with Information Retrieval for Question Answering
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    Chapter 87 A Hybrid Approach to DBQA
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    Chapter 88 A Chinese Question Answering Approach Integrating Count-Based and Embedding-Based Features
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    Chapter 89 Overview of the NLPCC-ICCPOL 2016 Shared Task: Open Domain Chinese Question Answering
Overall attention for this book and its chapters
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Mentioned by

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2 X users
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3 patents

Citations

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Title
Natural Language Understanding and Intelligent Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-50496-4
ISBNs
978-3-31-950495-7, 978-3-31-950496-4
Editors

Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng

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The data shown below were collected from the profiles of 2 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Student > Master 18 22%
Student > Postgraduate 8 10%
Researcher 6 7%
Student > Bachelor 4 5%
Other 7 8%
Unknown 20 24%
Readers by discipline Count As %
Computer Science 48 58%
Engineering 4 5%
Physics and Astronomy 2 2%
Medicine and Dentistry 2 2%
Agricultural and Biological Sciences 1 1%
Other 2 2%
Unknown 24 29%