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Deep learning in natural language processing 1st ed. 2018 edition

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence.

This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided.
The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

006.35 DEN d

Penerbit

Singapore : ., 2018

Deskripsi Fisik

348hlm.;ilus.;28cm

Bahasa

English

ISBN/ISSN

978-9811052088

Klasifikasi

006.35

Tipe Isi

text

Tipe Media

unmediated

Tipe Pembawa

volume

Edisi

1st ed. 2018 edition

Subjek

Deep learning
Pengenalan ucapan

Info Detail Spesifik

Buku ini menyajikan tinjauan menyeluruh mengenai penelitian deep learning dan aplikasinya dalam berbagai tugas utama pemrosesan bahasa alami (NLP), termasuk pengenalan dan pemahaman ucapan, sistem dialog, analisis leksikal, parsing, grafik pengetahuan, terjemahan mesin, tanya jawab, analisis sentimen, komputasi sosial, dan generasi bahasa alami dari gambar.

Pernyataan Tanggungjawab

Li Deng, Yang Liu

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