Representation learning for natural language processing /

Representation learning for natural language processing /

Podrobná bibliografie
Hlavní autor:	Liu, Zhiyuan
Další autoři:	Lin, Yankai, Sun, Maosong
Médium:	Kniha
Jazyk:	English
Vydáno:	Singapore : Springer, 2020.
Témata:	Natural language processing (Computer science). Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Podobné jednotky

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

Introduction to natural language processing /
Autor: Eisenstein, Jacob
Vydáno: (2019)

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

Transfer learning for natural language processing /
Autor: Azunre, Paul
Vydáno: (2021)

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

Natural language processing with Python /
Autor: Bird, Steven
Vydáno: (2009)

Handbook of natural language processing /
Vydáno: (2010)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
Autor: Chopra, Rohan, a další
Vydáno: (2020)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
Autor: Rao, Delip, a další
Vydáno: (2019)

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 /
Vydáno: (2002)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
Autor: Rao, Delip, a další
Vydáno: (2019)

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

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

Natural language processing for social media /
Autor: Farzindar, Anna Atefeh
Vydáno: (2020)

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

Natural language processing in action : understanding, analyzing, and generating text with Python /
Autor: Lane, Hobson, a další
Vydáno: (2019)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
Autor: Sankar, Krishna, a další
Vydáno: (2020)

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

Representation Learning for Natural Language Processing
Autor: Liu
Vydáno: (2020)

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

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

Statistical significance testing for natural language processing /
Vydáno: (2020)

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

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

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

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

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

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

Quality assessment of extracted information from newspaper comment sections using natural language processing
Autor: Deb, Arnob, a další
Vydáno: (2024)

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
Autor: Kedia, Aman, a další
Vydáno: (2020)

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

Identifying hate speech of Bangla language text using natural language processing
Autor: Rahman, Mushfiqur, a další
Vydáno: (2024)

Natural language processing with Spark NLP : learning to understand text at Scale /
Autor: Thomas, Alex (Data scientist)
Vydáno: (2020)

Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /
Autor: Ravichandiran, Sudharsan
Vydáno: (2021)

Sentiment analysis using Natural Language Processing (NLP) & deep learning
Autor: Islam, Kazi Minhazul, a další
Vydáno: (2022)

Practical natural language processing : a comprehensive guide to building real-world NLP systems /
Autor: Vajjala, Sowmya, a další
Vydáno: (2020)

Human sentiment analysis using natural language processing
Autor: Shamya, Md. Shamiul Haque Khan, a další
Vydáno: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
Autor: Deb, Priom, a další
Vydáno: (2024)

A study on the efficacy of natural language generation techniques for similar writing personalities
Autor: Anwar, Ahmed, a další
Vydáno: (2024)

Virtual teaching assistant for undergraduate students using natural language processing & deep learning
Autor: Sakib, Sadman Jashim, a další
Vydáno: (2023)