Computational Linguistics and Intelligent Text Processing

Table of Contents

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   Book Overview
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   Chapter 1 Overview of Character-Based Models for Natural Language Processing
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   Chapter 2 Pooling Word Vector Representations Across Models
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   Chapter 3 Strategies to Select Examples for Active Learning with Conditional Random Fields
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   Chapter 4 Label-Dependencies Aware Recurrent Neural Networks
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   Chapter 5 Universal Computational Formalisms and Developer Environment for Rule-Based NLP
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   Chapter 6 Several Ways to Use the Lingwarium.org Online MT Collaborative Platform to Develop Rich Morphological Analyzers
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   Chapter 7 A Trie-structured Bayesian Model for Unsupervised Morphological Segmentation
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   Chapter 8 Building Morphological Chains for Agglutinative Languages
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    Chapter 9 Joint PoS Tagging and Stemming for Agglutinative Languages
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    Chapter 10 Hungarian Particle Verbs in a Corpus-Driven Approach
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    Chapter 11 HANS: A Service-Oriented Framework for Chinese Language Processing
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    Chapter 12 Learning to Rank for Coordination Detection
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    Chapter 13 Classifier Ensemble Approach to Dependency Parsing
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    Chapter 14 Evaluation and Enrichment of Stanford Parser Using an Arabic Property Grammar
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    Chapter 15 SenseDependency-Rank: A Word Sense Disambiguation Method Based on Random Walks and Dependency Trees
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    Chapter 16 Domain Adaptation for Word Sense Disambiguation Using Word Embeddings
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    Chapter 17 “Show Me the Cup”: Reference with Continuous Representations
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    Chapter 18 Improved Best-First Clustering for Coreference Resolution in Indian Classical Music Forums
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    Chapter 19 A Robust Coreference Chain Builder for Tamil
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    Chapter 20 Structured Named Entity Recognition by Cascading CRFs
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    Chapter 21 Arabic Named Entity Recognition: A Bidirectional GRU-CRF Approach
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    Chapter 22 Named Entity Recognition for Amharic Using Stack-Based Deep Learning
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    Chapter 23 Idioms: Humans or Machines, It’s All About Context
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    Chapter 24 Dialogue Act Taxonomy Interoperability Using a Meta-model
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    Chapter 25 Textual Entailment Using Machine Translation Evaluation Metrics
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    Chapter 26 Supervised Learning of Entity Disambiguation Models by Negative Sample Selection
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    Chapter 27 The Enrichment of Arabic WordNet Antonym Relations
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    Chapter 28 Designing an Ontology for Physical Exercise Actions
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    Chapter 29 Visualizing Textbook Concepts: Beyond Word Co-occurrences
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    Chapter 30 Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features
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    Chapter 31 Text Similarity Function Based on Word Embeddings for Short Text Analysis
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    Chapter 32 Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences
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    Chapter 33 Classifier-Based Pattern Selection Approach for Relation Instance Extraction
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    Chapter 34 An Ensemble Architecture for Linked Data Lexicalization
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    Chapter 35 A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion
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    Chapter 36 Exploring Linguistic and Graph Based Features for the Automatic Classification and Extraction of Adverse Drug Effects
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    Chapter 37 Extraction of Semantic Relation Between Arabic Named Entities Using Different Kinds of Transducer Cascades
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    Chapter 38 Semi-supervised Relation Extraction from Monolingual Dictionary for Russian WordNet
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    Chapter 39 ASR Hypothesis Reranking Using Prior-Informed Restricted Boltzmann Machine
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    Chapter 40 A Comparative Analysis of Speech Recognition Systems for the Tatar Language
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    Chapter 41 Interactive Data Analytics for the Humanities
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    Chapter 42 Language Technology for Digital Linguistics: Turning the Linguistic Survey of India into a Rich Source of Linguistic Information
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    Chapter 43 Classifying World Englishes from a Lexical Perspective: A Corpus-Based Approach
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    Chapter 44 Towards a Map of the Syntactic Similarity of Languages
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    Chapter 45 Romanian Word Production: An Orthographic Approach Based on Sequence Labeling