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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

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    Book Overview
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    Chapter 1 Unsupervised Joint Monolingual Character Alignment and Word Segmentation
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    Chapter 2 Improving Multi-pass Transition-Based Dependency Parsing Using Enhanced Shift Actions
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    Chapter 3 Diachronic Deviation Features in Continuous Space Word Representations
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    Chapter 4 Ontology Matching with Word Embeddings
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    Chapter 5 Exploiting Multiple Resources for Word-Phrase Semantic Similarity Evaluation
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    Chapter 6 Dependency Graph Based Chinese Semantic Parsing
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    Chapter 7 A Joint Learning Approach to Explicit Discourse Parsing via Structured Perceptron
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    Chapter 8 Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping
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    Chapter 9 Automatic Collection of the Parallel Corpus with Little Prior Knowledge
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    Chapter 10 The Chinese-English Contrastive Language Knowledge Base and Its Applications
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    Chapter 11 Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining
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    Chapter 12 Text Classification with Document Embeddings
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    Chapter 13 Reasoning Over Relations Based on Chinese Knowledge Bases
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    Chapter 14 Distant Supervision for Relation Extraction via Sparse Representation
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    Chapter 15 Learning the Distinctive Pattern Space Features for Relation Extraction
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    Chapter 16 An Investigation on Statistical Machine Translation with Neural Language Models
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    Chapter 17 Using Semantic Structure to Improve Chinese-English Term Translation
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    Chapter 18 Query Expansion for Mining Translation Knowledge from Comparable Data
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    Chapter 19 A Comparative Study on Simplified-Traditional Chinese Translation
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    Chapter 20 Combining Lexical Context with Pseudo-alignment for Bilingual Lexicon Extraction from Comparable Corpora
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    Chapter 21 Chinese-English OOV Term Translation with Web Mining, Multiple Feature Fusion and Supervised Learning
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    Chapter 22 A Universal Phrase Tagset for Multilingual Treebanks
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    Chapter 23 Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese
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    Chapter 24 Calculation Analysis on Consonant and Character for Corpus Study of Gesar Epic "HorLing"
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    Chapter 25 Sentence Level Paraphrase Recognition Based on Different Characteristics Combination
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    Chapter 26 Learning Tag Relevance by Context Analysis for Social Image Retrieval
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    Chapter 27 ASR-Based Input Method for Postal Address Recognition in Chinese Mandarin
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Citations

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Title
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-12277-9
ISBNs
978-3-31-912276-2, 978-3-31-912277-9
Editors

Sun, Maosong, Liu, Yang, Zhao, Jun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Researcher 3 27%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Other 0 0%
Readers by discipline Count As %
Computer Science 9 82%
Unspecified 1 9%
Environmental Science 1 9%