Neural network methods in natural language processing

Goldberg, Yoav

Neural network methods in natural language processing by Yoav Goldberg - New york : Springer, ©2022 - 287 p. : col. ill. ; 23 cm. - Synthesis Lectures on Human Language Technologies .

Learning Basics and Linear Models From Linear Models to Multi-layer Perceptrons Feed-forward Neural Networks Neural Network Training Features for Textual Data Case Studies of NLP Features From Textual Features to Inputs Language Modeling Pre-trained Word Representations Using Word Embeddings Case Study: A Feed-forward Architecture for Sentence Case Study: A Feed-forward Architecture for Sentence Meaning Inference Ngram Detectors: Convolutional Neural Networks Recurrent Neural Networks: Modeling Sequences and Stacks Concrete Recurrent Neural Network Architectures Modeling with Recurrent Networks Conditioned Generation Modeling Trees with Recursive Neural Networks Structured Output Prediction Cascaded, Multi-task and Semi-supervised Learning

9783031010378


Artificial intelligence
Computational linguistics

006.3 / GOL-N
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