About the Author |
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xi | |
Foreword |
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xiii | |
Preface |
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xv | |
Acknowledgment |
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xvii | |
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1 | (20) |
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1.1 Open collaborative human summarization |
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1 | (3) |
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1.2 The necessity of automatic text summarization |
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4 | (1) |
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1.3 Practice in search engines |
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5 | (4) |
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1.4 Practice in e-science: summarizing multiple scientific papers through citation |
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9 | (4) |
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1.5 A multi-dimensional perspective of summarization literature |
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13 | (2) |
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1.6 Characteristics of text summarization |
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15 | (1) |
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1.7 Requirement from enterprise content computing and big data |
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16 | (2) |
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18 | (3) |
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2 The emerging structures |
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21 | (24) |
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21 | (1) |
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2.2 Text as near decomposable system |
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22 | (1) |
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2.3 The near decomposability of memory |
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23 | (1) |
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2.4 The structure emerging through representing and understanding |
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24 | (1) |
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2.5 Principles for emerging sentences within text |
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25 | (1) |
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2.6 Rules for emerging structure within text |
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26 | (1) |
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2.7 Case study: summarizing text with emerging structure |
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27 | (8) |
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2.8 Emerging structure through dimensions |
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35 | (1) |
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2.9 Emerging from psychological dimension |
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36 | (2) |
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2.10 The cognitive level of current text summarization |
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38 | (1) |
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39 | (3) |
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42 | (3) |
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3 Patterns in representation and understanding |
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45 | (10) |
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45 | (3) |
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48 | (1) |
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3.3 Pattern-based summarization |
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49 | (1) |
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3.4 Incorporating locations into pattern |
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50 | (1) |
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3.5 From psychological dimension |
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51 | (1) |
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52 | (3) |
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55 | (12) |
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55 | (5) |
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4.2 The semantic images of words |
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60 | (3) |
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4.3 The principle of emerging semantic images |
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63 | (4) |
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5 Multi-dimensional methodology |
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67 | (26) |
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67 | (3) |
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70 | (1) |
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71 | (6) |
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5.4 Discovering dimensions |
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77 | (13) |
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5.5 The space of methodologies |
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90 | (2) |
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92 | (1) |
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6 Characteristics and principles of understanding and representation |
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93 | (8) |
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6.1 The level of representation |
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93 | (1) |
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93 | (2) |
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6.3 Characteristics, principles and strategies |
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95 | (6) |
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7 Implicit links in multi-dimensional space |
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101 | (6) |
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101 | (2) |
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7.2 Discovering implicit semantic links |
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103 | (1) |
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7.3 Observing from the psychological dimension |
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104 | (1) |
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7.4 Observing from the art dimension |
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105 | (2) |
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107 | (8) |
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8.1 A dual semantic link network |
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107 | (2) |
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109 | (2) |
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111 | (1) |
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8.4 Extension and intension |
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111 | (3) |
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8.5 Summarization as citation |
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114 | (1) |
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115 | (8) |
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9.1 Dimension as computing |
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115 | (1) |
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9.2 The dimensions for structuring summary |
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115 | (3) |
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9.3 Summarization ondemand |
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118 | (2) |
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120 | (3) |
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10 Multi-dimensional evaluation |
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123 | (2) |
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11 Incorporating pictures into a summary |
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125 | (6) |
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125 | (2) |
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127 | (4) |
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12 Summarizing videos, graphs and pictures |
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131 | (4) |
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131 | (1) |
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132 | (1) |
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12.3 Summarizing pictures |
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133 | (2) |
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13 General framework of summarization |
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135 | (6) |
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135 | (1) |
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13.2 Transformation with dimension reduction |
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136 | (1) |
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137 | (1) |
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13.4 Representation lattice |
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138 | (1) |
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139 | (2) |
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14 Summarization of things in Cyber-Physical Society |
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141 | (8) |
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14.1 Cyber-Physical Society |
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141 | (1) |
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14.2 The necessity of investigating summarization in Cyber-Physical Society |
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142 | (1) |
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14.3 Representation and interaction in Cyber-Physical Society |
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143 | (2) |
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145 | (2) |
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147 | (2) |
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15 Limitations and challenges |
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149 | (4) |
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15.1 Limitations of automatic summarization |
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149 | (1) |
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150 | (1) |
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150 | (3) |
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16 Creative summarization |
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153 | (18) |
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16.1 Unconventional mapping |
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153 | (1) |
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16.2 Information modeling |
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153 | (9) |
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16.3 Cognition modeling system |
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162 | (1) |
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16.4 Knowledge space modeling system |
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163 | (1) |
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16.5 Human-machine-nature symbiosis |
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164 | (2) |
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166 | (1) |
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16.7 Incorporating learning theories and techniques |
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167 | (1) |
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16.8 The emotion dimension |
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168 | (3) |
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171 | (2) |
Appendix A Human---machine---nature symbiosis |
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173 | (6) |
References |
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179 | |