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Natural Language Data Management and Interfaces

) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions;

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Exploring Time, Tense and Aspect in Natural Language Database Interfaces

implemented using Prolog and ALE. This is the first in-depth exploration of the notion of time in natural language database interfaces. It will be;

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User-Centered Data Management

This lecture covers several core issues in user-centered data management, including how to design usable interfaces that suitably support;

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Conversational UX Design

With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as;

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Conversational UX Design

With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as;

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User-Centered Data Management

This lecture covers several core issues in user-centered data management, including how to design usable interfaces that suitably support;

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Natural Language Generation in Interactive Systems

refer the reader to corpora, data, software and other resources for pursuing research on natural language generation and interactive systems;

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Integration of NLP Search with I-SOAS

of Product Data Management, Natural Language Processing and a project i.e. I-SOAS. Furthermore we also discuss how can natural language based grammar;

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Controlled Natural Language

languages which are controlled, to controlled languages with a natural language flavour; and from more theoretical results to interfaces, reasoning;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018;

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Recent Advances in Artificial Intelligence and Data Engineering

logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019;

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Natural Language Processing

; communication mediated through natural language generation in big data environments; web semantic and ontology; and understanding creative language;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020;

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Diagnosing Syntax

in syntactic research and focuses on the five core domains of natural language syntax - ellipsis, agreement, anaphora, phrasal movement, and head;

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SIGS

, software architecture, the development of user interfaces, data management, and the development of large commercial software products. The book;

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Syntactic Complexity across Interfaces

the formal complexity of natural language, about specific issues of clausal embedding, and about syntactic complexity in terms of grammar;

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Biomedical Information Technology

image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The;

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Advances on Smart and Soft Computing

processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and;

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Language & Learning For Robots

Robot technology will find wide-scale use only when a robotic device can be given commands and taught new tasks in a natural language. How;

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Data-Driven Methods for Adaptive Spoken Dialogue Systems

been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present end;

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Spatial Modelling of the Terrestrial Environment

Understanding and predicting the behaviour of natural and human environmental systems is crucial for the effective management of the;

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Transforming the IT Services Lifecycle with AI Technologies

services delivery lifecycle to deliver better business outcomes through a data-driven and knowledge-based approach. Three main challenges and the;

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The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

describes the data-intensive methodologies used to envision, prototype, and evaluate new multimodal interfaces. From a system development viewpoint;

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Neural Networks for Natural Language Processing

Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a;

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Neural Networks for Natural Language Processing

Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a;

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Big Data Analytics with SAS

Jupyter Notebook interfaces with SAS * Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data;

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