Natural Language Engineering: Methods, Tasks and Applications
De (autor): Massimo Esposito
This Special Issue highlights the most recent research being carried out in the field of NLP methods to face these open issues, with particular emphasis on emerging approaches for learning interactively or autonomously from data, single and multiple language understanding and grounding for analysis and generation, as well as potential or real applications in different domains and everyday devices.
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This Special Issue highlights the most recent research being carried out in the field of NLP methods to face these open issues, with particular emphasis on emerging approaches for learning interactively or autonomously from data, single and multiple language understanding and grounding for analysis and generation, as well as potential or real applications in different domains and everyday devices.
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