Cognitively inspired natural language processing : an investigation based on eye-tracking /: an investigation based on eye-tracking. (2018)
- Record Type:
- Book
- Title:
- Cognitively inspired natural language processing : an investigation based on eye-tracking /: an investigation based on eye-tracking. (2018)
- Main Title:
- Cognitively inspired natural language processing : an investigation based on eye-tracking
- Further Information:
- Note: Abhijit Mishra, Pushpak Bhattacharyya.
- Authors:
- Mishra, Abhijit
Bhattacharyya, Pushpak - Contents:
- Intro; Preface; Acknowledgements; Contents; About the Authors; 1 Introduction; 1.1 Cognitive Data: A Valuable By-product of Annotation; 1.2 Human Eye-Movement and Eye-Tracking Technology; 1.2.1 The Visual System: How Do We See?; 1.2.2 Eye-Tracking Technology; 1.2.3 History of Development of Eye-Trackers; 1.2.4 Eye-Tracking Systems: Invasive and Non-invasive; 1.2.5 Tools for Gaze Data Recording and Analysis; 1.2.6 Eye Movement in Reading and Language Processing; 1.3 Theme of the Monograph; 1.3.1 Research Objective 1: Assessing Cognitive Effort in Text Annotation. 1.3.2 Research Objective 2: Extracting Cognitive Features for Text Classification1.4 Roadmap of the Book; References; 2 Applications of Eye Tracking in Language Processing and Other Areas; 2.1 Eye Movement and Reading: A Psycholinguistic Perspective; 2.1.1 The Eye-Mind Hypothesis: Just and Carpenters' Theory of Reading; 2.1.2 Basic Characteristics of Eye Movement in Reading; 2.1.3 Effects of Lexical and Syntactic Complexities on Eye Movement; 2.1.4 Models for Eye-Movement Control During Reading; 2.1.5 Comparing Eye-Movement Patterns: Measures for Scanpath Similarity. 2.2 Eye-Movement Behavior and Text Annotation2.2.1 Study of Text Translation Annotation; 2.2.2 Study of Word Sense Annotation; 2.2.3 Study of Sentiment Annotation; 2.2.4 Cognitive Cost Model for Annotation-A Case Study of Named Entity Marking; 2.3 Eye-Movement Data for Development and Evaluation of NLP Systems; 2.3.1 Part-of-Speech Tagging; 2.3.2Intro; Preface; Acknowledgements; Contents; About the Authors; 1 Introduction; 1.1 Cognitive Data: A Valuable By-product of Annotation; 1.2 Human Eye-Movement and Eye-Tracking Technology; 1.2.1 The Visual System: How Do We See?; 1.2.2 Eye-Tracking Technology; 1.2.3 History of Development of Eye-Trackers; 1.2.4 Eye-Tracking Systems: Invasive and Non-invasive; 1.2.5 Tools for Gaze Data Recording and Analysis; 1.2.6 Eye Movement in Reading and Language Processing; 1.3 Theme of the Monograph; 1.3.1 Research Objective 1: Assessing Cognitive Effort in Text Annotation. 1.3.2 Research Objective 2: Extracting Cognitive Features for Text Classification1.4 Roadmap of the Book; References; 2 Applications of Eye Tracking in Language Processing and Other Areas; 2.1 Eye Movement and Reading: A Psycholinguistic Perspective; 2.1.1 The Eye-Mind Hypothesis: Just and Carpenters' Theory of Reading; 2.1.2 Basic Characteristics of Eye Movement in Reading; 2.1.3 Effects of Lexical and Syntactic Complexities on Eye Movement; 2.1.4 Models for Eye-Movement Control During Reading; 2.1.5 Comparing Eye-Movement Patterns: Measures for Scanpath Similarity. 2.2 Eye-Movement Behavior and Text Annotation2.2.1 Study of Text Translation Annotation; 2.2.2 Study of Word Sense Annotation; 2.2.3 Study of Sentiment Annotation; 2.2.4 Cognitive Cost Model for Annotation-A Case Study of Named Entity Marking; 2.3 Eye-Movement Data for Development and Evaluation of NLP Systems; 2.3.1 Part-of-Speech Tagging; 2.3.2 Sentence Compression; 2.3.3 Machine Translation Evaluation; 2.4 Eye Tracking: Application Areas Other than Reading and Language Processing; 2.4.1 Neuroscience; 2.4.2 Industrial Engineering and Human Factors. 2.4.3 Human-Computer Interaction and User Experience2.4.4 Marketing/Advertisement; References; Part I Assessing Cognitive Effort in Annotation; 3 Estimating Annotation Complexities of Text Using Gaze and Textual Information; 3.1 Estimating Text Translation Complexity; 3.1.1 Translation Complexity Index-Motivation, Utility, and Background; 3.1.2 Prediction Framework for Translation Complexity; 3.1.3 Using Eye Tracking for TCI Annotation; 3.1.4 Computing TCI Using Eye-Tracking Database; 3.1.5 Relating TCI to Linguistic Features; 3.1.6 Lexical Features; 3.1.7 Syntactic Features. 3.1.8 Semantic Features3.1.9 Translation Feature; 3.1.10 Experiment and Results; 3.1.11 Discussion: Correlation Between Translation Complexity and Machine Translation Accuracy; 3.2 Measuring Sentiment Annotation Complexity; 3.2.1 Sentiment Annotation Complexity: Motivation, Utility and Background; 3.2.2 Understanding Sentiment Annotation Complexity; 3.2.3 Creation of Dataset Annotated with SAC; 3.2.4 Eye-Tracking Experimental Setup; 3.2.5 Calculating SAC from Eye-Movement Data; 3.2.6 Linguistic Features for Predicting Sentiment Annotation Complexity; 3.2.7 Predictive Framework for SAC. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xvii, 174 pages), illustrations (some color)
- Subjects:
- 006.3/5
Natural language processing (Computer science)
Machine learning
Eye tracking
COMPUTERS -- General
Eye tracking
Machine learning
Natural language processing (Computer science)
Natural Language Processing (NLP)
Artificial Intelligence
Computational Linguistics
Psycholinguistics
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811315169
9811315167
9789811315176
9811315175 - Related ISBNs:
- 9789811315152
9811315159 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed August 8, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.407564
- Ingest File:
- 02_479.xml