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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

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Cover of 'Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Improving Chinese Word Segmentation Using Partially Annotated Sentences
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    Chapter 2 Chinese Natural Chunk Research Based on Natural Annotations in Massive Scale Corpora
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    Chapter 3 A Kalman Filter Based Human-Computer Interactive Word Segmentation System for Ancient Chinese Texts
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    Chapter 4 Chinese Word Segmentation with Character Abstraction
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    Chapter 5 A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation
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    Chapter 6 Enhancing Chinese Word Segmentation with Character Clustering
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    Chapter 7 Integrating Multi-source Bilingual Information for Chinese Word Segmentation in Statistical Machine Translation
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    Chapter 8 Interactive Question Answering Based on FAQ
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    Chapter 9 Document Oriented Gap Filling of Definite Null Instantiation in FrameNet
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    Chapter 10 Interesting Linguistic Features in Coreference Annotation of an Inflectional Language
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    Chapter 11 Semi-supervised Learning with Transfer Learning
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    Chapter 12 Online Distributed Passive-Aggressive Algorithm for Structured Learning
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    Chapter 13 Power Law for Text Categorization
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    Chapter 14 Natural Language Understanding for Grading Essay Questions in Persian Language
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    Chapter 15 Learning to Extract Attribute Values from a Search Engine with Few Examples
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    Chapter 16 User-Characteristics Topic Model
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    Chapter 17 Mining User Preferences for Recommendation: A Competition Perspective
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    Chapter 18 A Classification-Based Approach for Implicit Feature Identification
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    Chapter 19 Role of Emoticons in Sentence-Level Sentiment Classification
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    Chapter 20 Emotional McGurk Effect? A Cross-Cultural Investigation on Emotion Expression under Vocal and Facial Conflict
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    Chapter 21 Pests Hidden in Your Fans: An Effective Approach for Opinion Leader Discovery
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    Chapter 22 Exploiting Lexicalized Statistical Patterns in Chinese Linguistic Analysis
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    Chapter 23 Development of Traditional Mongolian Dependency Treebank
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    Chapter 24 Chinese Sentence Compression: Corpus and Evaluation
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    Chapter 25 Graphic Language Model for Agglutinative Languages: Uyghur as Study Case
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    Chapter 26 i CPE: A Hybrid Data Selection Model for SMT Domain Adaptation
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    Chapter 27 Multi-classifier Combination for Translation Error Detection
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    Chapter 28 Automatic Discrimination of Pronunciations of Chinese Retroflex and Dental Affricates
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    Chapter 29 A New Word Language Model Evaluation Metric for Character Based Languages
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    Chapter 30 Bidirectional Sequence Labeling via Dual Decomposition
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    Chapter 31 Semantic Analysis of Chinese Prepositional Phrases for Patent Machine Translation
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    Chapter 32 Massive Scientific Paper Mining: Modeling, Design and Implementation
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Citations

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63 Mendeley
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Title
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
Published by
Springer Berlin Heidelberg, October 2013
DOI 10.1007/978-3-642-41491-6
ISBNs
978-3-64-241490-9, 978-3-64-241491-6
Editors

Sun, Maosong, Zhang, Min, Lin, Dekang, Wang, Haifeng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
China 1 2%
Slovakia 1 2%
Brazil 1 2%
Unknown 57 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 25%
Student > Ph. D. Student 11 17%
Researcher 6 10%
Student > Bachelor 6 10%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 8 13%
Readers by discipline Count As %
Computer Science 39 62%
Engineering 3 5%
Linguistics 3 5%
Agricultural and Biological Sciences 2 3%
Business, Management and Accounting 1 2%
Other 5 8%
Unknown 10 16%