Cognitively Inspired Natural Language Processing An Investigation Based on Eye-tracking /

• Κύριοι συγγραφείς: Mishra, Abhijit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Bhattacharyya, Pushpak (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Cognitive Intelligence and Robotics,
• Θέματα: Natural language processing (Computer science).; Artificial intelligence.; Computational linguistics.; Psycholinguistics.; Natural Language Processing (NLP).; Artificial Intelligence.; Computational Linguistics.

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perfo...

Πίνακας περιεχομένων:

• Chapter 1. Introduction
• Chapter 2. Eye-tracking: Theory, Methods, and Applications in Language Processing and Other Areas
• Chapter 3. Estimating Annotation Complexities of Text Using Gaze and Textual Information - Case studies of Translation and Sentiment Annotation
• Chapter 4. Scanpath Complexity: Combining Gaze Attributes for Modeling Effort in Text Reading/Annotation
• Chapter 5. Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior
• Chapter 6. Harnessing Cognitive Features for Sentiment Analysis and Sarcasm Detection
• Chapter 7. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
• Chapter 8. Conclusion and Future Directions.