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Saturday, August 1, 2020 | History

3 edition of Conversational agents and natural language interaction found in the catalog.

Conversational agents and natural language interaction

Diana Perez-Marin

Conversational agents and natural language interaction

techniques and effective practices

by Diana Perez-Marin

  • 290 Want to read
  • 9 Currently reading

Published by Information Science Reference in Hershey, PA .
Written in English

    Subjects:
  • Intelligent agents (Computer software),
  • Computer-assisted instruction,
  • Discourse analysis,
  • Data processing,
  • Natural language processing (Computer science),
  • Speech therapy

  • Edition Notes

    Includes bibliographical references (p. 401-438) and index.

    StatementDiana Perez-Marin, Ismael Pascual-Nieto, [editors]
    Classifications
    LC ClassificationsQA76.9.N38 C674 2011
    The Physical Object
    Paginationxviii, 456 p. :
    Number of Pages456
    ID Numbers
    Open LibraryOL24906016M
    ISBN 109781609606176, 9781609606183
    LC Control Number2011001310

    8. Extending Conversational Agents for Task-Oriented Human-Computer Dialogue (pages ) Pierre Andrews (University of Trento, Italy), Silvia Quarteroni (University of Trento, Italy) 9. Affective Conversational Agents: The Role of Personality and Emotion in Spoken Interactions (pages ). Conversational Technologies has a long history of work on applications using speech and language technologies for remediative and assistive systems for language disorders. This work is described in a recent book Speech and Language Technology for Language Disorders, coauthored by Katharine Beals, Deborah Dahl, Ruth Fink, and Marcia Linebarger.

      For a quality conversation between a human and a machine, responses have to be quick, intelligent and natural-sounding. But up to now, developers of language-processing neural networks that power real-time speech applications have faced an unfortunate trade-off: Be quick and you sacrifice the quality of the response; craft an intelligent response and you’re too slow. Conversational Agents and Natural Language Interaction: Techniques and Effective Practices.

    "A Natural Dialogue System is a form of dialogue system that tries to improve usability and user satisfaction by imitating human behaviour" (Berg, ). It addresses the features of a human-to-human dialog (e.g. sub dialogues and topic changes) and aims to integrate them into dialogue systems for human-machine interaction. Objective: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes. Methods: We searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were included if they focused on consumers or healthcare.


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Conversational agents and natural language interaction by Diana Perez-Marin Download PDF EPUB FB2

Conversational Agents and Natural Language Interaction: Techniques and Effective Practices is a reference guide for researchers entering the promising field of conversational agents. It provides an introduction to fundamental concepts in the field, collects experiences of researchers working on conversational agents, and reviews techniques for Cited by: By combining agent capabilities with computational linguistics, conversational agents can exploit natural language technologies to improve communication between humans and computers.

Conversational Agents and Natural Language Interaction: Techniques and Effective Practices is a reference guide for researchers entering the promising field of conversational agents. Conversational agents and natural language interaction: techniques and effective practices.

[Diana Perez-Marin; Ismael Pascual-Nieto;] -- "This book is a reference guide for researchers entering the promising field of conversational agents, providing an introduction to fundamental concepts in the field, collecting experiences of.

Conversational Agents and Natural Language Interaction: Techniques and Effective Practices Chapter (PDF Available) January with Reads How we measure 'reads'. Conversational Agents and Natural Language Interaction: Techniques and Effective Practices is a reference guide for researchers entering the promising field of conversational agents.

Buy Conversational Agents and Natural Language Interaction: Techniques and Effective Practices (Premier Reference Source) by Diana Perez-Marin, Ismael Pascual-Nieto (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible s: 1. Natural Language (NL) Interaction, that is, to let the users express in natural language could be the solution to improve the communication between human and computers. Conversational agents exploit NL technologies to engage users in text-based informationseeking and task-oriented dialogs for a broad range of applications such as e-commerce.

A conversational agent is any dialogue system that not only conducts natural language processing but also responds automatically using human language. These agents represent the practical implementation of computational linguistics, usually employed as chatbots over the internet or as portable device assistants.

Mencía, Beatriz López and David D. Pardo, Alvaro Hernández Trapote, and Luis A. Hernández Gómez. "Designing ECAs to Improve Robustness of Human-Machine Dialogue." In Conversational Agents and Natural Language Interaction: Techniques and Effective Practices.

edited by Diana Perez-Marin, and Ismael Pascual-Nieto, Hershey, PA: IGI. This edited book explores the intersection of UX design, of both text- or voice-based virtual agents, and the analysis of naturally occurring human conversation (e.g., the Conversation Analysis, Discourse Analysis and Interactional Sociolinguistics literatures).

Get this from a library. Conversational agents and natural language interaction: techniques and effective practices. [Diana Perez-Marin; Ismael Pascual-Nieto; IGI Global.;] -- "This book is a reference guide for researchers entering the promising field of conversational agents, providing an introduction to fundamental concepts in the field, collecting experiences of.

Thus a key technical capability for dialogue-based conversational agents for interactive entertainment, therapeutic, or learning applications is the ability to support natural conversational interaction.

To do so, natural language processing is often applied to allow users flexibility in what they say to the system, but the system. restricted interface. Natural Language (NL) Interaction, that is, to let the users express in natural language could be the solution to improve the communication between human and computers.

Conversational agents exploit NL technologies to engage users in text-based information. Conversational Agents and Natural Language Interaction: Techniques and Effective Practices (Premier Reference Source) by Diana Perez-Marin () [Diana Perez-Marin] on *FREE* shipping on qualifying offers.

What is a conversational agent A dialog system or conversational agent (CA) is a computer system intended to converse with a human, with a coherent structure.

Dialog systems have employed text, speech, graphics, haptics, gestures and other modes for. Conversational agents are the natural language interaction interfaces designed to simulate conversation with a human. With the advent of conversational agents like chatbots and virtual assistants, humans can now communicate with machines in a more sophisticated way.

Conversational agents not only advise you, but they also think with you and help you make decisions. For example, they can search through data sets, book your travel on your favorite, and also find the most suitable date. These agents use natural language understanding and are far.

People learn to use language over the course of their lives from interactions they have with the world and others, yet natural language processing.

Conversational Component Integration - Created by Catherine Wang. If you are using conversational service on the cloud and building a virtual agent for the internal users, those agents are most likely to be information retrieval al users or employees would like to use the virtual agent as a knowledge search engine and ask the chatbot to find the last meeting notes, tax invoice.

Chapter in the book “Conversational Agents and Natural Language Interaction: Techniques and Effective Practices” edited by Secretariado de Publicaciones de laUniversidad de Sevilla.

ISBN:. Conversational AI trends are affecting machine-to-human, human-to-machine and back-and-forth human and machine interactions. Framing natural language processing. The term natural language refers to the manner in which humans communicate with each other.

We use written and spoken forms of communication as well as gestures that have communication. Natural Language interaction Multi-modal interaction Agent embodiment 9. Thanks! You can find me at the poster session @ale_suglia [email protected] Any questions?

References [1]: Rieser, V., and O. Lemon. Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation.Conversational Agents and Natural Language Interaction by Diana Perez-marin and Ismael Pascual-Nieto: Virtual Humans by David Burden and Maggi Savin-Baden: Hands-On Chatbots and Conversational UI Development by Srini Janarthanam: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig.