Statistical significance testing for natural language processing /

Statistical significance testing for natural language processing /

Bibliographische Detailangaben
Weitere Verfasser:	Dror, Rotem, Peled-Cohen, Lotem, Shlomov, Segev, Reichart, Roi
Format:	Buch
Sprache:	English
Veröffentlicht:	San Rafael, California : Morgan & Claypool Publishers, c2020.
Schlagworte:	Natural language processing (Computer science). Statistical hypothesis testing. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Ähnliche Einträge

100 statistical tests /
von: Kanji, Gopal K.
Veröffentlicht: (2006)

Introduction to natural language processing /
von: Eisenstein, Jacob
Veröffentlicht: (2019)

Natural language processing for online applications : text retrieval, extraction, and categorization /
von: Jackson, Peter, 1948-
Veröffentlicht: (2002)

Representation learning for natural language processing /
von: Liu, Zhiyuan
Veröffentlicht: (2020)

Natural language processing with Python /
von: Bird, Steven
Veröffentlicht: (2009)

Handbook of natural language processing /
Veröffentlicht: (2010)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
von: Chopra, Rohan, et al.
Veröffentlicht: (2020)

Natural language processing and information systems : 6th International Conference on Applications of Natural Language to Information Systems, NLDB 2002, Stockholm, Sweden, June 27-28, 2002 : revised papers /
Veröffentlicht: (2002)

Natural language processing and computational linguistics : a practical guide to text analysis with python, gensim, spaCy, and keras /
von: Srinivasa-Desikan, Bhargav
Veröffentlicht: (2018)

Natural language processing for social media /
von: Farzindar, Anna Atefeh
Veröffentlicht: (2020)

Natural language processing with Python and spaCy : a practical introduction /
von: Vasiliev, Yuli
Veröffentlicht: (2020)

Natural language processing in action : understanding, analyzing, and generating text with Python /
von: Lane, Hobson, et al.
Veröffentlicht: (2019)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
von: Rao, Delip, et al.
Veröffentlicht: (2019)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
von: Sankar, Krishna, et al.
Veröffentlicht: (2020)

Neural network methods for natural language processing /
von: Goldberg, Yoav

Natural language processing with PyTorch : build intelligent language applications using deep learning /
von: Rao, Delip, et al.
Veröffentlicht: (2019)

Natural language processing and knowledge representation : language for knowledge and knowledge for language /
Veröffentlicht: (2000)

Advanced natural language processing with TensorFlow 2 : build effective real-world NLP applications using NER, RNNS, seq2seq models, transformers, and more /
von: Bansal, Ashish
Veröffentlicht: (2021)

Transfer learning for natural language processing /
von: Azunre, Paul
Veröffentlicht: (2021)

Behavioural analysis of factors influencing online food ordering and its relation to obesity
von: Labib, S. M. Fazle Rabby, et al.
Veröffentlicht: (2023)

Deep learning for natural language processing : creating neural networks with Python /
von: Goyal, Palash
Veröffentlicht: (2018)

Python natural language processing cookbook : over 50 recipes to understand, analyze, and generate text for implementing language processing tasks /
von: Antić, Zhenya, author
Veröffentlicht: (2021)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
von: Jahan, Rufyda
Veröffentlicht: (2019)

Natural language processing with Java cookbook : over 70 recipes to create linguistic and language translation applications using Java libraries /
von: Reese, Richard M., 1953-
Veröffentlicht: (2019)

Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /
von: Rothman, Denis
Veröffentlicht: (2021)

Natural language processing crash course for beginners : theory and applications of NLP using TensorFlow and Keras /
Veröffentlicht: (2020)

A pratical guide to hybrid natural Language processing : combining neural models and knowledge graphs for NLP /
von: Gomez-Perez, Jose Manuel
Veröffentlicht: (2020)

Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /
von: Patel, Sunil
Veröffentlicht: (2021)

Quality assessment of extracted information from newspaper comment sections using natural language processing
von: Deb, Arnob, et al.
Veröffentlicht: (2024)

Hands-on natural language processing with PyTorch 1.x : build smart, AI-driven linguistic applications using deep learning and NLP techniques /
von: Dop, Thomas
Veröffentlicht: (2020)

Testing for language teachers /
von: Hughes, Arthur, 1941-
Veröffentlicht: (2003)

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
von: Kedia, Aman, et al.
Veröffentlicht: (2020)

Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /
von: Yildırım, Savas
Veröffentlicht: (2021)

Identifying hate speech of Bangla language text using natural language processing
von: Rahman, Mushfiqur, et al.
Veröffentlicht: (2024)

Language testing in practice : designing and developing useful language tests /
von: Bachman, Lyle F., 1944-
Veröffentlicht: (1996)

Managing the testing process : practical tools and techniques for managing hardware and software testing /
von: Black, Rex, 1964-
Veröffentlicht: (2002)

Managing the testing process : practical tools and techniques for managing software and hardware testing /
von: Black, Rex, 1964-
Veröffentlicht: (2009)

Critical testing processes : plan, prepare, perform, perfect /
von: Black, Rex
Veröffentlicht: (2004)

The art of software testing /
von: Myers, Glenford J., 1946-
Veröffentlicht: (2004)

Testing for language teachers /
von: Hughes, Arthur, 1941-
Veröffentlicht: (2020)