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Human-Inspired Computing and Its Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Finding the Most Frequent Sense of a Word by the Length of Its Definition
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    Chapter 2 Complete Syntactic N-grams as Style Markers for Authorship Attribution
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    Chapter 3 Extracting Frame-Like Structures from Google Books NGram Dataset
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    Chapter 4 Modeling Natural Language Metaphors with an Answer Set Programming Framework
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    Chapter 5 Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis
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    Chapter 6 Statistical Recognition of References in Czech Court Decisions
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    Chapter 7 LSA Based Approach to Domain Detection
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    Chapter 8 Novel Unsupervised Features for Czech Multi-label Document Classification
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    Chapter 9 Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes
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    Chapter 10 Detailed Description of the Development of a MOOC in the Topic of Statistical Machine Translation
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    Chapter 11 NEBEL: Never-Ending Bilingual Equivalent Learner
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    Chapter 12 RI for IR: Capturing Term Contexts Using Random Indexing for Comprehensive Information Retrieval
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    Chapter 13 Data Extraction Using NLP Techniques and Its Transformation to Linked Data
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    Chapter 14 A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search
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    Chapter 15 How Predictive Is Tense for Language Profiency? A Cautionary Tale
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    Chapter 16 Evaluating Term-Expansion for Unsupervised Image Annotation
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    Chapter 17 Gender Differences in Deceivers Writing Style
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    Chapter 18 Extraction of Semantic Relations from Opinion Reviews in Spanish
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    Chapter 19 Evaluating Polarity for Verbal Phraseological Units
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    Chapter 20 Restaurant Information Extraction (Including Opinion Mining Elements) for the Recommendation System
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    Chapter 21 Aggressive Text Detection for Cyberbullying
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    Chapter 22 A Sentiment Analysis Model: To Process Subjective Social Corpus through the Adaptation of an Affective Semantic Lexicon
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    Chapter 23 Towards Automatic Detection of User Influence in Twitter by Means of Stylistic and Behavioral Features
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    Chapter 24 Multisensor Based Obstacles Detection in Challenging Scenes
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    Chapter 25 GP-MPU Method for Implicit Surface Reconstruction
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    Chapter 26 Monocular Visual Odometry Based Navigation for a Differential Mobile Robot with Android OS
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    Chapter 27 Comparison and Analysis of Models to Predict the Motion of Segmented Regions by Optical Flow
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    Chapter 28 Image Based Place Recognition and Lidar Validation for Vehicle Localization
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    Chapter 29 Frequency Filter Bank for Enhancing Carbon Nanotube Images
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    Chapter 30 A Supervised Segmentation Algorithm for Crop Classification Based on Histograms Using Satellite Images
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    Chapter 31 An Effective Visual Descriptor Based on Color and Shape Features for Image Retrieval
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    Chapter 32 Compressive Sensing Architecture for Gray Scale Images
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    Chapter 33 A Novel Approach for Face Authentication Using Speeded Up Robust Features Algorithm
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    Chapter 34 On-Line Dense Point Cloud  Generation from Monocular  Images with Scale Estimation
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    Chapter 35 An Improved Colorimetric Invariants and RGB-Depth-Based Codebook Model for Background Subtraction Using Kinect
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    Chapter 36 Novel Binarization Method for Enhancing Ancient and Historical Manuscript Images
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    Chapter 37 Preferences for Argumentation Semantics
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    Chapter 38 Computing Preferred Semantics: Comparing Two ASP Approaches vs an Approach Based on 0-1 Integer Programming
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    Chapter 39 Human-Inspired Computing and Its Applications
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    Chapter 40 Onto Design Graphics (ODG): A Graphical Notation to Standardize Ontology Design
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    Chapter 41 A Logic for Context-Aware Non-monotonic Reasoning Agents
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    Chapter 42 MAS-td: An Approach to Termination Detection of Multi-agent Systems
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    Chapter 43 Intelligent Tutoring System with Affective Learning for Mathematics
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    Chapter 44 Emotion Recognition in Intelligent Tutoring Systems for Android-Based Mobile Devices
Attention for Chapter 5: Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis
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Citations

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Chapter title
Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis
Chapter number 5
Book title
Human-Inspired Computing and Its Applications
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-13647-9_5
Book ISBNs
978-3-31-913646-2, 978-3-31-913647-9
Authors

Ilia Markov, Nuno Mamede, Jorge Baptista

Editors

Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Linguistics 1 17%
Unknown 1 17%