Cargando…
Hands-on question answering systems with BERT : applications in neural networks and natural language processing /
Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you thr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, California] :
Apress,
[2021]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1238031485 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 210222s2021 caua ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OCLCO |d GW5XE |d SFB |d OCLCF |d VT2 |d EBLCP |d YDX |d LDP |d ERF |d DCT |d UKAHL |d OCL |d OCLCQ |d OCLCO |d COM |d OCLCQ |d OCLCO | ||
| 019 | |a 1231522303 |a 1231610934 |a 1236311999 |a 1238202415 |a 1238203968 |a 1238205343 |a 1240510405 | ||
| 020 | |a 9781484266649 |q (electronic bk.) | ||
| 020 | |a 1484266641 |q (electronic bk.) | ||
| 020 | |a 1484266633 | ||
| 020 | |a 9781484266632 | ||
| 020 | |a 9781484266656 |q (print) | ||
| 020 | |a 148426665X | ||
| 020 | |z 9781484266632 | ||
| 024 | 7 | |a 10.1007/978-1-4842-6664-9 |2 doi | |
| 029 | 1 | |a AU@ |b 000068589149 | |
| 029 | 1 | |a AU@ |b 000068857334 | |
| 029 | 1 | |a AU@ |b 000068987995 | |
| 035 | |a (OCoLC)1238031485 |z (OCoLC)1231522303 |z (OCoLC)1231610934 |z (OCoLC)1236311999 |z (OCoLC)1238202415 |z (OCoLC)1238203968 |z (OCoLC)1238205343 |z (OCoLC)1240510405 | ||
| 037 | |b Springer | ||
| 050 | 4 | |a QA76.87 | |
| 072 | 7 | |a UYQM |2 bicssc | |
| 072 | 7 | |a COM004000 |2 bisacsh | |
| 072 | 7 | |a UYQM |2 thema | |
| 082 | 0 | 4 | |a 006.32 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Sabharwal, Navin, |e author. | |
| 245 | 1 | 0 | |a Hands-on question answering systems with BERT : |b applications in neural networks and natural language processing / |c Navin Sabharwal and Amit Agrawal. |
| 264 | 1 | |a [Berkeley, California] : |b Apress, |c [2021] | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 520 | |a Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you'll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you'll cover word embedding and their types along with the basics of BERT. After this solid foundation, you'll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You'll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT. You will: Examine the fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a question-answering system from scratch Train question-answering systems for your own data. | ||
| 505 | 0 | |a Introduction to Natural Language Processing -- Neural Networks for Natural Language Processing -- Introduction to Word Embeddings -- BERT Algorithms Explained -- BERT Model Applications : Question Answering System -- BERT Model Applications : Other tasks -- Future of BERT models. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed February 22, 2021). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Computer software |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 700 | 1 | |a Agrawal, Amit, |e author. | |
| 776 | 0 | |z 1484266633 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484266649/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38714814 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6455456 | ||
| 938 | |a EBSCOhost |b EBSC |n 2728573 | ||
| 938 | |a YBP Library Services |b YANK |n 301876653 | ||
| 994 | |a 92 |b IZTAP | ||