Semantic Scholar Open Access 2017 3040 sitasi

Recent Trends in Deep Learning Based Natural Language Processing

Tom Young Devamanyu Hazarika Soujanya Poria E. Cambria

Abstrak

Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the context of natural language processing (NLP). In this paper, we review significant deep learning related models and methods that have been employed for numerous NLP tasks and provide a walk-through of their evolution. We also summarize, compare and contrast the various models and put forward a detailed understanding of the past, present and future of deep learning in NLP.

Topik & Kata Kunci

Computer Science

Penulis (4)

Tom Young

Devamanyu Hazarika

Soujanya Poria

E. Cambria

Format Sitasi

APA MLA BibTeX

Young, T., Hazarika, D., Poria, S., Cambria, E. (2017). Recent Trends in Deep Learning Based Natural Language Processing. https://doi.org/10.1109/MCI.2018.2840738

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 3040×
Sumber Database: Semantic Scholar
DOI: 10.1109/MCI.2018.2840738
Akses: Open Access ✓