"Natural Language Annotation for Machine Learning: A guide to corpus-building for applications"

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Book	Author(s)	Year	Publisher
Natural Language Annotation for Machine Learning: A guide to corpus-building for applications	James Pustejovsky, Amber Stubbs	2012	O'Reilly Media
Machine Learning of Natural Language	David M.W. Powers; Christopher C.R. Turk	1989	Springer London
Machine learning of natural language	David M. W. Powers	1989	Springer-Verlag
Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Building Chatbots with Python: Using Natural Language Processing and Machine Learning	Sumit Raj	1st ed.	Apress
Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing	Jalaj Thanaki	2017	Packt Publishing
Building Intelligent Systems: A Guide to Machine Learning Engineering	Geoff Hulten	1st ed.	Apress
Natural Language Processing with Java: Techniques for Building Machine Learning and Neural Network Models for NLP	Bhatia, AshishSingh; M. Reese, Richard	2018	Packt Publishing Ltd
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing	Taweh Beysolow II	1st ed.	Apress
Machine Learning for Healthcare Applications	Sachi Nandan Mohanty; G. Nalinipriya; Om Prakash Jena; Achyuth Sarkar	2021	John Wiley & Sons
Machine Learning for Robotics Applications	Monica Bianchini; Milan Simic; Ankush Ghosh; Rabindra Nath Shaw	1st ed. 2021	Springer Nature Singapore
Building Machine Learning Powered Applications: Going from Idea to Product	Emmanuel Ameisen	2020	O'Reilly Media
Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques	Jeffrey Ng CFA, Subhash Shah	2020	Packt Publishing
Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Computational Methods for Corpus Annotation and Analysis	Xiaofei Lu	2014	Springer Netherlands
Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
Machine Learning Algorithms for Industrial Applications	Santosh Kumar Das; Shom Prasad Das; Nilanjan Dey; Aboul-Ella Hassanien	1st ed. 2021	Springer International Publishing
Machine Learning Projects for Mobile Applications	Karthikeyan NG	2018	Packt Publishing
Machine Learning for High-Risk Applications	Patrick Hall	2021	O'Reilly Media, Inc.
Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI	Robert (Munro) Monarch	2021	Manning Publications
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Natural Language Annotation for Machine Learning		Natural Language Annotation for Machine Learning: A guide to corpus-building for applications	James Pustejovsky, Amber Stubbs	2012	O'Reilly Media
Semantic Annotation of a Natural Language Corpus for Knowledge Extraction	Borja Navarro; Patricio Martínez-Barco; Manuel Palomar	Natural Language Processing and Information Systems: 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, Alicante, Spain, June 15-17, Proceedings	Andrés Montoyo; Rafael Muńoz; Elisabeth Métais	2005	Springer Berlin Heidelberg
128 Machine Learning and Deep Learning Natural Language Applications		Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition	Paul Deitel	2021	Pearson
118 Machine Learning and Deep Learning Natural Language Applications		Python for Programmers: with Big Data and Artificial Intelligence Case Studies	Paul J. Deitel, Harvey Deitel	2019	Pearson Higher Ed
Machine Learning of Natural Language	Dayne Freitag	Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Machine Learning for Efficient Natural-Language Processing	Fernando Pereira	Combinatorial Pattern Matching: 11th Annual Symposium. CPM 2000, Montreal, Canada, June 21-23, 2000, Proceedings	Raffaele Giancarlo; David Sankoff	2000	Springer Berlin Heidelberg
A practical guide to machine learning		Fundamentals of Machine Learning	Thomas P. Trappenberg	2019	Oxford University Press
Controlled Natural Language for Semantic Annotation	Brian Davis; Pradeep Varma; Siegfried Handschuh; Laura Dragan; Hamish Cunningham	The Semantic Web: Research and Applications: 6th European Semantic Web Conference, ESWC 2009 Heraklion, Crete, Greece, May 31– June 4, 2009 Proceedings	Lora Aroyo; Paolo Traverso; Fabio Ciravegna; Philipp Cimiano; Tom Heath; Eero Hyvönen; Riichiro Mizoguchi; Eyal Oren; Marta Sabou; Elena Simperl	2009	Springer Berlin Heidelberg
Machine learning meets natural language (Abstract)	Tom Mitchell	Progress in Artificial Intelligence: 8th Portuguese Conference on Artificial Intelligence, EPIA ' 97, Coimbra, Portugal, October 6-9, 1997. Proceedings	Ernesto Costa; Amilcar Cardoso	1997	Springer Berlin Heidelberg
Natural Language Complexity and Machine Learning	Leonor Becerra-Bonache; M. Dolores Jiménez-López	Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference	Sara Rodríguez; Javier Prieto; Pedro Faria; Sławomir Kłos; Alberto Fernández; Santiago Mazuelas; M. Dolores Jiménez-López; María N. Moreno; Elena M. Navarro	1st ed. 2019	Springer International Publishing
Machine Learning in Natural Language Processing		Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes)	Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, Jose Rafael Magdalena Benedito, Antonio Jose Serrano Lopez	2009	Information Science Reference
Corpus annotation	Danielle Barth; Stefan Schnell	Understanding: Corpus Linguistics	Danielle Barth; Stefan Schnell	2021	Routledge
Corpus Annotation	Manfred Stede; Jodi Schneider	Argumentation Mining	Manfred Stede; Jodi Schneider		Springer International Publishing
Corpus Annotation	Eduard Hovy	The Oxford Handbook of Computational Linguistics	Ruslan Mitkov	2022	Oxford University Press
Corpus Annotation	John Newman; Christopher Cox	A Practical Handbook of Corpus Linguistics	Magali Paquot; Stefan Th. Gries	1st ed. 2020	Springer International Publishing
Corpus annotation		Discourse Processing	Manfred Stede	2011	Morgan & Claypool
Natural language corpus data	Peter Norvig	Beautiful data: [the stories behind elegant data solutions]	Toby Segaran; Jeff Hammerbacher	2009	O'Reilly
“It needs to be natural”Building a corpus		Bilingual couples talk: the discursive construction of hybridity	Ingrid Piller	2002	J. Benjamins
92 Machine learning for annotation quality control		Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI	Robert (Munro) Monarch	2021	Manning Publications
Video Corpus Annotation Using Active Learning	Stéphane Ayache; Georges Quénot	Advances in Information Retrieval: 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30 -- April 3, 2008	Craig Macdonald; Iadh Ounis; Vassilis Plachouras; Ian Ruthven; Ryan W. White	2008	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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