Last edited by Gumi
Saturday, August 1, 2020 | History

2 edition of Ontologies and adaptivity in dialogue for question answering found in the catalog.

Ontologies and adaptivity in dialogue for question answering

Daniel Sonntag

Ontologies and adaptivity in dialogue for question answering

by Daniel Sonntag

  • 324 Want to read
  • 19 Currently reading

Published by AKA, IOS Press in Heidelberg, [Washington D.C.] .
Written in English

    Subjects:
  • Dialogue analysis,
  • Semantic Web,
  • Ontology

  • Edition Notes

    Includes bibliographical references (p. 377-410).

    StatementDaniel Sonntag
    SeriesStudies on the semantic Web -- v. 004
    Classifications
    LC ClassificationsTK5105.88815 .S56 2010
    The Physical Object
    Paginationxi, 410 p. :
    Number of Pages410
    ID Numbers
    Open LibraryOL24882362M
    ISBN 109783898386234, 9781607500544
    LC Control Number2010293759

    Some issues in dialogue-based question-answering Arne Jönsson & Magnus Merkel NLPLAB, Department of Computer and Information Science Linköping University, S 83 Linköping, SWEDEN {arnjo,magme}@ Abstract We present on-going work on how to combine a multimodal dialogue system with techniques from information extraction. IQA system has been attracted by researchers in recent years. Through interactive dialogue with the user, IQA systems can gradually clear the real intention of the user's questions. In this paper, we introduced an architecture of IQA system which is based on an IQA ontology and adopting hybrid reasoning mechanism. Our supposed IQA system can online diagnose the fault and return the.

    How Ontologies Support Extensibility, Reuse, and Dissemination. An ontology is a taxonomic description of the concepts in an application domain and the relationships among them [].Computational ontologies have three primary uses in knowledge-intensive software systems: (1) they provide a formalism that can facilitate clarification and description of the fundamental concepts in a domain. knowledge representation, inference, ontologies, sense disambiguation, plagiarism detection, fake news detection) Integrating Applications of Text and Speech Processing (machine translation, natural language understanding, question-answering strategies, assistive technologies) Automatic Dialogue Systems (self-learning, multilingual.

    Ontology is the philosophical study of broadly, it studies concepts that directly relate to being, in particular becoming, existence, reality, as well as the basic categories of being and their relations. Traditionally listed as a part of the major branch of philosophy known as metaphysics, ontology often deals with questions concerning what entities exist or may be said to exist.   Free Online Library: Explorations of the psychoanalytic mystics.(Brief article, Book review) by "Reference & Research Book News"; Publishing industry Library and information science Books Book reviews.


Share this book
You might also like
frozen food industry.

frozen food industry.

Final Evaluation of Enterprise Zones

Final Evaluation of Enterprise Zones

Problems and control of air pollution

Problems and control of air pollution

Yoko Takashima

Yoko Takashima

Available publications from Northern Prairie Wildlife Research Center

Available publications from Northern Prairie Wildlife Research Center

Mathematics for today

Mathematics for today

At the Beach

At the Beach

Integrating mathematics and science

Integrating mathematics and science

A courtesans guide to getting your man

A courtesans guide to getting your man

Financial times mastering management.

Financial times mastering management.

Statutory sick pay

Statutory sick pay

Blessed with this family!

Blessed with this family!

The day after The day after

The day after The day after

Ontologies and adaptivity in dialogue for question answering by Daniel Sonntag Download PDF EPUB FB2

Ontologies and Adaptivity in Dialogue for Question Answering - Volume 4 Studies on the Semantic Web by D. Sonntag (Author). Daniel Sonntag's book presents a question-answering software architecture that exploits two central ideas: the creation of a meta structure for building, exploiting, and maintaining the ontologies necessary for effective question-answering dialogue, and the specification and demonstration of how adaptivity during the interactive question-answering task can improve the exploitation of this new architecture to incrementally improve the quality of the question-answering.

Ontologies and Adaptivity in Dialogue for Question Answering. [D Sonntag] -- Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access.

To advance research in the area of dialogue-based question answering, we. This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogical problem domain.

This book presents the anatomy of the fully operational SmartWeb system (funded by the German Federal Ministry of Education and Research with grants totaling 14 million euros) that provides not only an open-domain question answering machine but a multimodal web service interface for coherent dialogue, where questions and commands are interpreted according to the context of the previous.

Get this from a library. Ontologies and adaptivity in dialogue for question answering. [Daniel Sonntag]. Contents Preface 5 Prologue 7 Part I.

Introduction and Scientific Background Chapter 1. Introduction 13 Motivation—Why this book. 13 Who should read this book. 17 S. This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogica.

Contextual question answering (CQA), in which user information needs are satisfied through an interactive question answering (QA) dialog, has recently attracted more research attention. One challenge is to fuse contextual information into the understanding process of relevant questions.

In this paper, a discourse structure is proposed to maintain semantic information, and approaches for. Quarteroni S, Manandhar S. Adaptivity in question answering with user modeling and a dialogue interface.

In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics. – Daniel Sonntag. Introspection and adaptable model integration for dialogue-based question answering. In IJCAI, pages –, Daniel Sonntag.

Ontologies and Adaptivity in Dialogue for Question Answering, volume 4 of Studies on the Semantic Web. AKA and IOS Press, Heidelberg, first edition, Ontologies and adaptivity in dialogue for question answering. for relevant answers. This book presents the anatomy of the fully operational SmartWeb system (funded by the German Federal.

Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex or controversial answers. We introduce adaptivity in QA and IR by creating a hybrid system based on a dialogue.

Part of the Lecture Notes in Computer Science book series (LNCS, volume ) Abstract. We think that modern speech dialogue systems need a prior usability analysis to identify the requirements for industrial applications.

M., Motta, E.: Aqualog: An ontology-portable question answering system for the semantic web. In: Gómez-Pérez, A. Ontologies and Adaptivity in Dialogue for Question Answering, Chapter on Ontologies.

Daniel Sonntag. IOS Press, Foundations of Semantic Web Technologies. Pascal Hitzler, Markus Krötzsch, and Sebastian Rudolph. Chapman & Hall, RDF Tutorial. Pierre-Antoine Champin. Université de Lyon, Speaker: Wenkai Dai; Opponent: Javeria Iqbal. Large lexical ontologies such as WordNet have been used in applications such as text summarisation [Chaves, ], translation [Knight, ] and information extraction [Burke et al., ], sometimes directly, sometimes to help build more specialised domain ontologies.

Ontologies have been used within specific dialogue. Sonntag: Ontologies and Adaptivity in Dialogue for Question Answering, Russel, Norvig: Artificial Intelligence: A Modern Approach, 3rd Edition, Answering contextual questions based on ontologies and question templates D Wang – Frontiers of Computer Science in China, – Springer underlying human-human dialog.

Quarteroni and Mana- ndhar [25] introduce an open-domain question answering system named YourQA where queries can be posed in a dialog [26] with the system. The QAS focuses on the key techniques of pattern knowledge-based question answering.

We design and implement the question answering system and take part in the evaluation of Text Retrieval Conference. We also apply the pattern matching technique to a new related research area reading comprehension, and a satisfied result is acquired.

A dialogue system for answering user questions in natural speech presents one of the main achievements of contemporary interaction-based AI technology. Modern dialogue frameworks function as middleware between the interface component and the backend where the answers to the user questions are stored in heterogeneous formats.

We implemented an interface to linked data sources. Ontology, the philosophical study of being in general, or of what applies neutrally to everything that is real. It was called “first philosophy” by Aristotle in Book IV of his Metaphysics. The Latin term ontologia (“science of being”) was felicitously invented by the German philosopher Jacob.Figure slots for the class Wine and the facets for these slots.

The “I” icon next to the maker slot indicates that the slot has an inverse (Section ). Step 5. Define the properties of classes—slots.

The classes alone will not provide enough information to answer the competency questions from Step we have defined some of the classes, we must describe the internal structure.The ability to provide both rich and natural answers with respect to a given question, and clear explanations for failures, is a crucial aspect for a future generation of question answering systems able to interact with a user.

We argue that such abilities are necessarily based on a deep analysis of the content of both the question and the answer, and propose an ontology-based approach to.