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Cognitive Approach to Natural Language Processing

Copyright

Contents

Preface

Bibliography

Chapter 1. Delayed Interpretation, Shallow Processing and Constructions: the Basis of the “Interpret Whenever Possible” Principle

1.1. Introduction

1.2. Delayed processing

1.3. Working memory

1.4. How to recognize chunks: the segmentation operations

1.5. The delaying architecture

1.6. Conclusion

1.7. Bibliography

Chapter 2. Can the Human Association Norm Evaluate Machine-Made Association Lists?

2.1. Introduction

2.2. Human semantic associations

2.3. Algorithm efficiency comparison

2.4. Conclusion

2.5. Bibliography

Chapter 3. How a Word of a Text Selects the Related Words in a Human Association Network

3.1. Introduction

3.2. The network

3.3. The network extraction driven by a text-based stimulus

3.4. Tests of the network extracting procedure

3.5. A brief discussion of the results and the related work

3.6. Bibliography

Chapter 4. The Reverse Association Task

4.1. Introduction

4.2. Computing forward associations

4.3. Computing reverse associations

4.4. Human performance

4.5. Performance by machine

4.6. Discussion, conclusions and outlook

4.7. Acknowledgments

4.8. Bibliography

Chapter 5. Hidden Structure and Function in the Lexicon

5.1. Introduction

5.2. Methods

5.3. Psycholinguistic properties of Kernel, Satellites, Core, MinSets and the rest of each dictionary

5.4. Discussion

5.5. Future work

5.6. Bibliography

Chapter 6. Transductive Learning Games for Word Sense Disambiguation

6.1. Introduction

6.2. Graph-based word sense disambiguation

6.3. Our approach to semi-supervised learning

6.4. Word sense disambiguation games

6.5. Evaluation

6.6. Conclusion

6.7. Bibliography

Chapter 7. Use Your Mind and Learn to Write: The Problem of Producing Coherent Text

7.1. The problem

7.2. Suboptimal texts and some of the reasons

7.3. How to deal with the complexity of the task?

7.4. Related work

7.5. Assumptions concerning the building of a tool assisting the writing process

7.6. Methodology

7.7. Experiment and evaluation

7.8. Outlook and conclusion

7.9. Bibliography

Chapter 8. Stylistic Features Based on Sequential Rule Mining for Authorship Attribut

8.1. Introduction and motivation

8.2. The authorship attribution process

8.3. Stylistic features for authorship attribution

8.4. Sequential data mining for stylistic analysis

8.5. Experimental setup

8.6. Results and discussion

8.7. Conclusion

8.8. Bibliography

Chapter 9. A Parallel, Cognition-oriented Fundamental Frequency Estimation Algorithm

9.1. Introduction

9.2. Segmentation of the speech signal

9.3. F0 estimation for stable intervals

9.4. F0 propagation

9.5. Unstable voiced regions

9.6. Parallelization

9.7. Experiments and results

9.8. Conclusions

9.9. Acknowledgments

9.10. Bibliography

Chapter 10. Benchmarking n-grams, Topic Models and Recurrent Neural Networks by Cloze Completions, EEGs and Eye Movements

10.1. Introduction

10.2. Related work

10.3. Methodology

10.4. Experiment setup

10.5. Results

10.6. Discussion and conclusion

10.7. Acknowledgments

10.8. Bibliography

List of Authors

Index

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