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TABLE OF CONTENTS |
6 |
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Preface |
12 |
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Contextual Valence Shifters |
18 |
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1. Introduction |
18 |
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2. From Simple Valence to Contextually Determined Valence |
19 |
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3. Contextual Valence Shifters |
20 |
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4. Conclusion |
26 |
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5. Bibliography |
27 |
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Conveying Attitude with Reported Speech |
28 |
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1. Introduction |
28 |
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2. Evidential Analysis of Reported Speech |
29 |
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3. Profile Structure |
31 |
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4. Extended Example |
33 |
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5. Source List Annotation |
34 |
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6. Extension to Other Attribution |
37 |
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7. Conclusion |
37 |
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8. Acknowledgements |
38 |
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9. Bibliography |
38 |
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Where Attitudinal Expressions Get their Attitude |
40 |
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1. Research Questions to Motivate the Study of Attitudinal Expressions |
40 |
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2. Starting Points – Prototypical Attitudinal Expressions |
41 |
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3. Text Topicality: Players |
41 |
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4. Text Topicality: Moves |
42 |
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5. Identifying Players |
42 |
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6. The Case for Animacy: Adjectival Attributes and Genitive Attributes |
42 |
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7. The Case for Syntactic Structure: Situational Reference |
43 |
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8. Using Syntactic Patterns more Systematically |
45 |
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9. Generalizing from Syntactic Patterns to the Lexicon |
46 |
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10. Conclusions |
46 |
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11. Bibliography |
47 |
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The Subjectivity of Lexical Cohesion in Text |
56 |
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1. Introduction |
56 |
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2. Theoretical Background |
57 |
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3. Experimental Study |
58 |
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4. Discussion |
60 |
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5. Acknowledgements |
61 |
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6. Bibliography |
61 |
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A Weighted Referential Activity Dictionary |
63 |
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1. Introduction |
64 |
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2. Methods |
66 |
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3. Results |
72 |
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4. Bibliography |
74 |
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Certainty Identification in Texts: Categorization Model and Manual Tagging Results |
75 |
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1. Analytical Framework |
76 |
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2. Proposed Certainty Categorization Model |
79 |
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3. Empirical Study |
82 |
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4. Applications |
88 |
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5. Conclusions and Future Work |
88 |
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6. Acknowledgements |
89 |
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7. Bibliography |
89 |
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Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus |
91 |
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1. Introduction |
91 |
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2. Low-Level Perspective Information |
92 |
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3. The MPQA NRRC Corpus |
94 |
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4. Multi-Perspective Question and Answer Corpus Creation |
94 |
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5. Evaluation of Perspective Annotations for MPQA |
97 |
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6. Conclusions and Future Work |
103 |
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7. Acknowledgements |
103 |
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8. Bibliography |
104 |
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A Computational Semantic Lexicon of French Verbs of Emotion |
121 |
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1. Introduction |
121 |
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2. Semantic Lexicon Description |
121 |
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3. FEELING System |
128 |
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4. Evaluation |
134 |
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5. Related Work |
135 |
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6. Conclusion |
135 |
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7. Bibliography |
135 |
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Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues |
137 |
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1. Introduction |
137 |
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2. Data |
139 |
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3. Opinion-Oriented Words |
142 |
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4. Identifying Opinion Propositions |
144 |
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5. Results |
148 |
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6. Error Analysis |
150 |
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7. Discussion |
151 |
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8. Acknowledgments |
152 |
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9. Bibliography |
152 |
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Approaches for Automatically Tagging Affect: Steps Toward an Effective and Efficient Tool |
154 |
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1. Introduction |
154 |
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2. Background |
155 |
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3. Rochester Marriage-Counseling Corpus |
156 |
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4. Approaches to Tagging |
157 |
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5. Evaluations |
164 |
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6. Discussion |
165 |
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7. CATS Tool |
167 |
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8. Related Work |
168 |
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9. Conclusion |
168 |
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10. Acknowledgments |
169 |
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11. Bibliography |
169 |
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Argumentative Zoning for Improved Citation Indexing |
170 |
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1. Citation Indexing and Citation Maps |
170 |
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2. Argumentative Zoning and Author Affect |
172 |
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3. Meta-discourse |
174 |
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4. Human Annotation of Author Affect |
176 |
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5. Features for Author Affect |
178 |
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6. Evaluation |
178 |
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7. Conclusion |
179 |
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8. Bibliography |
179 |
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Two Exploratory Studies Politeness and Bias in Dialogue Summarization |
181 |
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1. Introduction |
182 |
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2. First Study: Politeness and Bias in Unconstrained Dialogue Summarization |
184 |
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3. Second Study: Politeness and Bias in Constrained Dialogue Summarization |
188 |
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4. Comparison |
190 |
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5. Conclusion and Outlook |
191 |
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6. Acknowledgements |
192 |
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7. Bibliography |
192 |
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8. Appendix I |
195 |
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Generating More-Positive and More-Negative Text |
196 |
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1. Near-Synonyms and Attitudinal Nuances |
196 |
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2. Related Work |
198 |
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3. Estimating the Relative Semantic Orientation of Text |
198 |
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4. Word Sense Disambiguation |
199 |
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5. Analysis |
199 |
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6. Generation |
200 |
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7. Experiments |
201 |
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8. Evaluation |
204 |
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9. Conclusion |
205 |
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10. Acknowledgements |
205 |
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11. Bibliography |
205 |
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Identifying Interpersonal Distance using Systemic Features |
208 |
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1. Introduction |
209 |
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2. Systemic Functional Linguistics |
209 |
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3. Representing System Networks |
213 |
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4. Identifying Registers |
218 |
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5. Conclusion |
221 |
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6. Bibliography |
221 |
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Corpus-Based Study of Scientific Methodology: Comparing the Historical and Experimental Sciences |
224 |
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1. Introduction |
225 |
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2. Background |
225 |
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3. Systemic Indicators as Textual Features |
228 |
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4. Experimental Study |
231 |
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5. Example Texts |
236 |
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6. Conclusions |
237 |
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7. Acknowledgements |
237 |
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8. References |
237 |
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Argumentative Zoning Applied to Critiquing Novices™ Scientific Abstracts |
241 |
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1. Introduction |
242 |
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2. The SciPo System |
242 |
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3. Argumentative Zoning for Portuguese Texts |
245 |
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4. Evaluation of SciPo™s Critiquing Tool |
250 |
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5. Conclusions |
252 |
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6. Acknowledgements |
252 |
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7. Bibliography |
252 |
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Using Hedges to Classify Citations in Scientific Articles |
255 |
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1. Scientific Writing, the Need for Affect, and Its Role in Citation Analysis |
255 |
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2. Hedging in Scientific Writing |
256 |
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3. Classifying Citations in Scientific Writing |
258 |
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4. Determining the Importance of Hedges in Citation Contexts |
260 |
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5. A Citation Indexing Tool for Biomedical Literature Analysis |
264 |
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6. Conclusions and Future Work |
269 |
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7. Acknowledgements |
269 |
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8. Bibliography |
269 |
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Towards a Robust Metric of Polarity |
272 |
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1. Introduction |
272 |
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2. Related Work |
273 |
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3. Classes of Polar Expression |
275 |
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4. Recognizing Polar Language |
276 |
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5. Topic Detection in Online Messages |
277 |
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6. The Intersection of Topic and Polarity |
279 |
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7. Empirical Analysis |
280 |
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8. Metrics for Topic and Polarity |
282 |
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9. Conclusions and Future Work |
284 |
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10. References |
285 |
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Characterizing Buzz and Sentiment in Internet Sources: Linguistic Summaries and Predictive Behaviors |
287 |
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1. Introduction and Motivation |
287 |
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2. Linguistic Summaries |
288 |
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3. Example Applications |
295 |
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4. TRENDS-2™ Infrastructure |
298 |
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5. Previous and Related Work |
299 |
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6. Open R&D and Application Issues |
299 |
|
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7. Bibliography |
300 |
|
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Good News or Bad News? Let the Market Decide |
303 |
|
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1. Introduction |
303 |
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2. Experiments |
304 |
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3. Results |
305 |
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4. Conclusions |
306 |
|
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Opinion Polarity Identification of Movie Reviews |
308 |
|
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1. Introduction |
308 |
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2. Related Research |
309 |
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3. Probabilistic Approaches to Polarity Identification |
310 |
|
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4. Features for Analysis |
311 |
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5. Part of Speech Feature Selection |
312 |
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6. Experiments |
313 |
|
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7. Synonymy and Hypernymy Feature Generalization |
317 |
|
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8. Selection by Ranking |
319 |
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9. Discussion |
319 |
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10. Conclusion |
320 |
|
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11. Acknowledgements |
320 |
|
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12. Bibliography |
320 |
|
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Multi-Document Viewpoint Summarization Focused on Facts, Opinion and Knowledge |
322 |
|
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1. Introduction |
323 |
|
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2. Experiment Overview: Multi-Document Viewpoint Summarization with Summary Types |
324 |
|
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3. Sentence-type Annotation |
328 |
|
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4. Genre Classification |
330 |
|
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5. Experiment Results |
333 |
|
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6. Conclusion |
338 |
|
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7. Acknowledgement |
339 |
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8. Bibliography |
339 |
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INDEX |
342 |
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