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· 제목 : Hands-On Question Answering Systems with Bert: Applications in Neural Networks and Natural Language Processing (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484266632
· 쪽수 : 184쪽
· 출판일 : 2021-01-13
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484266632
· 쪽수 : 184쪽
· 출판일 : 2021-01-13
목차
Chapter 1: Introduction to Natural Language Processing
Chapter Goal: To introduce basics of natural language processing
1.1 What is natural language processing
1.2 What is natural language understanding
1.3 Natural language processing tasks
1.3.1 Tokenization1.3.2 Stemming and lemmatization
1.3.3 Bag of words
1.3.4 Word / Sentence vectorization
Chapter 2: Introduction to Word Embeddings
Chapter Goal: To introduce the basics of word embeddings
3.1 What is word embeddings
3.2 Different methods of word embeddings
3.2.1 Word2vec
3.2.2 Glove
3.2.3 Elmo
3.2.4 Universal sentence encoders
3.2.5 BERT
3.3 Bidirectional Encoder Representations from Transformers (BERT)
3.3.1 BERT ? base
3.3.2 BERT - large
Chapter 3: BERT Algorithms Explained
Chapter Goal: Details on BERT model algorithms
4.1 Masked language model
4.2 Next sentence prediction (NSP)
4.3 Text classification using BERT
4.4 Various types of BERT based models
4.4.1 ALBERT
4.4.2 ROBERT
4.4.3 DistilBERT
Chapter 4: BERT Model Applications - Question Answering System
Chapter Goal: Details on question answering system
5.1 Introduction
5.2 Types of QA systems
5.3 QA system design using BERT5.4 DrQA system
5.5 DeepPavlov QA system
Chapter 5: BERT Model Applications - Other tasks
Chapter Goal: Details on NLP tasks performed by BERT.
6.1 Introduction
6.2 Other NLP Tasks:
6.2.1 Sentiment analysis
6.2.2. Named entity recognition
6.2.3 Tag generation
6.2.4 Classification
6.2.5 Text summarization
6.2.6 Language translation
Chapter 6: Future of BERT models
Chapter Goal: Provides an introduction to the new advances in the areas NLP using BERT
7.1 BERT - Future capabilities
