"Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing"

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Book	Author(s)	Year	Publisher
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing	Stefan Wermter; Ellen Riloff; Gabriele Scheler	1996	Springer Berlin Heidelberg
Connectionist Approaches to Natural Language Processing	R G Reilly; Noel Sharkey	1992	Routledge
Connectionist approaches to natural language processing	N. E. Sharkey	1992	Lawrence Erlbaum Associates
Connectionist Approaches to Language Learning	David Touretzky	1991	Springer US
Connectionist approaches to language learning	David S. Touretzky	1991	Kluwer Academic Publishers
Deep Learning Approaches for Spoken and Natural Language Processing	Virender Kadyan; Amitoj Singh; Mohit Mittal; Laith Abualigah	1st ed. 2021	Springer International Publishing
Connectionist natural language processing: readings from Connection science	Noel Sharkey	1992	Kluwer Academic Publishers
Connectionist Natural Language Processing: Readings from Connection Science	Noel Sharkey	1992	Springer Netherlands
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches	Ron Sun; Frederic Alexandre	1997	Routledge
Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing	Jalaj Thanaki	2017	Packt Publishing
Representation Learning for Natural Language Processing	Zhiyuan Liu; Yankai Lin; Maosong Sun	1st ed. 2020	Springer Nature Singapore
Deep Learning for Natural Language Processing	Stephan Raaijmakers
Transfer Learning for Natural Language Processing	Paul Azunre	2021	Manning Publications
Statistical Significance Testing for Natural Language Processing	Rotem Dror; Lotem Peled-Cohen; Segev Shlomov; Roi Reichart		Springer International Publishing
Statistical Significance Testing for Natural Language Processing	Rotem Dror (author)	2020	Morgan & Claypool Publishers
The Balancing Act: Combining Symbolic and Statistical Approaches to Language	Judith L. Klavans; Philip Resnik	1996	MIT Press,
Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing	Taweh Beysolow II	1st ed.	Apress
Foundations of Statistical Natural Language Processing	Manning C.D., Schütze H.	1999
Foundations of statistical natural language processing	Christopher D. Manning; Hinrich Schütze	1999	MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Natural Language Processing, Statistical Approaches to		Encyclopedia of Cognitive Science	Lynn Nadel	2003	Wiley
Connectionist vs symbolic approaches to language		Exploring Cognition: Damaged Brains and Neural Networks: Readings in Cognitive Neuropsychology and Connectionist Modelling	Gillian Cohen; Robert A. Johnstone; Kim Plunkett	2000	Routledge
Learning approaches for natural language processing	Stefan Wermter; Ellen Riloff; Gabriele Scheler	Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing	Stefan Wermter; Ellen Riloff; Gabriele Scheler	1996	Springer Berlin Heidelberg
Connectionist &a; Other Parallel Approaches to Natural Language Processing	Yorick Wilks	Theoretical Issues in Natural Language Processing	Yorick Wilks	1989	Routledge
Pt. I. Symbolic Approaches to NLP. 1. Symbolic Approaches to Natural Language Processing	Robert Dale.2.Tokenisation and Sentence Segmentation /David D. Palmer.3.Lexical Analysis /Richard Sproat.4.Parsing Techniques /Christer Samuelsson and Mats Wiren.5.Semantic Analysis /Massimo Poesio.6.Discourse Structure and Intention Recognition /Karen E. Lochbaum, Barbara J. Grosz and Candace L. Sidner.7.Natural Language Generation /David D. McDonald.8.Intelligent Writing Assistance /George E. Heidorn.9.Database Interfaces /Ion Androutsopoulos and Graeme Ritchie.10.Information Extraction /Jim Cowie and Yorick Wilks.11.The Generation of Reports from Databases /Richard I. Kittredge and Alain Polguere.12.The Generation of Multimedia Presentations /Elisabeth Andre.13.Machine Translation /Harold Somers.14.Dialogue Systems: From Theory to Practice in TRAINS-96 /James Allen, George Ferguson and Bradford W. Miller /[et al.]	Handbook of natural language processing /	Dale, Robert,; Moisl, Hermann,; Somers, H. L.	2000.	Marcel Dekker,
Connectionist Approaches to Language		The MIT Encyclopedia of the Cognitive Sciences	Robert A. Wilson, Frank Keil	1999	The MIT Press
Connectionist Approaches to Language		Encyclopedia of the Cognitive Sciences	Robert A. Wilson, Frank C. Keil	1999	The MIT Press
Statistical Natural Language Processing		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Statistical Natural Language Processing	Florentina T. Hristea	International Encyclopedia of Statistical Science	Miodrag Lovric	2011	Springer Berlin Heidelberg
Statistical Natural Language Processing		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Connectionist Natural Language Processing: An Introduction	P. J. Wyard	Neural Networks for Vision, Speech and Natural Language	R. Linggard; D.J. Myers; C. Nightingale	1992	Springer Netherlands
Statistical Models for Natural Language Processing	Kenneth Church	The Oxford Handbook of Computational Linguistics	Ruslan Mitkov	2022	Oxford University Press
Natural Language Processing and Language Learning		The Concise Encyclopedia of Applied Linguistics	Carol A. Chapelle	2019	Wiley-Blackwell
Combining Symbolic and Connectionist Techniques for Coordination in Natural Language	Stefan Wermter	GWAI-90 14th German Workshop on Artificial Intelligence: Eringerfeld, 10. –14. September 1990 Proceedings	Heinz Marburger	1990	Springer Berlin Heidelberg
Are Deep Learning Approaches Suitable for Natural Language Processing?	S. Alshahrani; E. Kapetanios	Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings	Elisabeth Métais; Farid Meziane; Mohamad Saraee; Vijayan Sugumaran; Sunil Vadera	1st ed. 2016	Springer International Publishing
Machine learning: symbolic and connectionist		Learning and memory: major ideas, principles, issues and applications /	Howard, Robert W.	1995.	Praeger,
Connectionist and Symbolic Learning Algorithms		Computational finance 1999 /	Abu-Mostafa, Yaser S.,	©2000.	MIT Press,
Connectionist Approaches to Language Acquisition	Kim Plunkett	The Handbook of Child Language	Paul Fletcher; Brian MacWhinney	1996	John Wiley & Sons
7. Statistical Natural Language Processing	Chris Callison-Burch and Miles Osborne	Handbook for language engineers /	Farghaly, Ali Ahmed Sabry,	[2003], ©2003.	CSLI Publications,
Connectionist Natural Language Processing: A Status Report	Michael G. Dyer	Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art	Ron Sun; Lawrence A. Bookman	1995	Springer US
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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