Cognitively Inspired Natural Language Processing / Cognitive Intelligence and Robotics (PDF)
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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 perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors' work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP.
Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings' hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that "something different should be done."
Prof. Pushpak Bhattacharyya is a recent past President of the ACL (2016-17). He is Director of the IIT Patna and Vijay and Sita Vashee Chair Professor at the Department of Computer Science and Engineering, IIT Bombay. He studied at the IIT Kharagpur (BTech), IIT Kanpur (MTech) and IIT Bombay (PhD) and has been a visiting scholar and faculty at MIT, Stanford, UT Houston and University Joseph Fourier (France). Prof. Bhattacharyya's main research areas are Natural Language Processing, Machine Learning and AI. He has published more than 250 research papers and led government and industry projects of international and national importance. Author of the textbook 'Machine Translation,' he is a Fellow of the National Academy of Engineering, Eminent Engineer awardee of the Institute of Engineers India, and a recipient of the Patwardhan Award (IIT Bombay) and VNMM Award (IIT Roorkee) - both for technology development - and faculty grants from IBM, Microsoft, Yahoo and the United Nations.
- Autoren: Abhijit Mishra , Pushpak Bhattacharyya
- 2018, 1st ed. 2018, 174 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811315167
- ISBN-13: 9789811315169
- Erscheinungsdatum: 01.08.2018
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- Größe: 4.67 MB
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