Deep Learning and Natural Language Processing

Dear Colleagues,

In the last years natural language processing tasks have been able to improve significantly their performance through the use of deep learning methodologies. Machine translation, summarization, and question-answering systems are some examples of tasks that were able to reach a high level of performance.

In this special issue we welcome new research contributions and survey papers describing advances in this relevant domain, with a special focus, but not exclusively on:

• Deep learning architectures specialized for NLP;
• Deep learning based approaches to NLP tasks, such as, NERC, syntactic parsers, semantic analysis, semantic role labeling, information extraction, sentiment analysis, summarization, question-answering and machine translation;
• Hybrid (symbolic + deep learning) approaches to NLP;
• Text annotation using deep-learning approaches;
• Survey papers.

Dr. Paulo Quaresma
Guest Editor

Manuscript Submission Information

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