Semantics for a Question-answering System
Author : William A. Woods
Publisher : Dissertations-G
Page : 890 pages
File Size : 10,97 MB
Release : 1979
Category : Computers
ISBN :
Author : William A. Woods
Publisher : Dissertations-G
Page : 890 pages
File Size : 10,97 MB
Release : 1979
Category : Computers
ISBN :
Author : Boris Galitsky
Publisher :
Page : 311 pages
File Size : 33,77 MB
Release : 2003
Category : Computational linguistics
ISBN : 9780868039794
Author : Martha W. Evens
Publisher :
Page : 918 pages
File Size : 50,19 MB
Release : 1975
Category : Artificial intelligence
ISBN :
Author : Ruslan Mitkov
Publisher : Oxford University Press
Page : 808 pages
File Size : 41,72 MB
Release : 2004
Category : Computers
ISBN : 019927634X
This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.
Author : Bertram Raphael
Publisher :
Page : 80 pages
File Size : 33,45 MB
Release : 1963
Category : Artificial intelligence
ISBN :
Author : D. Sonntag
Publisher : IOS Press
Page : 422 pages
File Size : 32,53 MB
Release : 2010-01-05
Category : Computers
ISBN : 1614993386
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 propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue Systems, Semantic Web, and Machine Learning). 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 which motivates the technical implementation. The ideas have been carried out in a mature natural language processing (NLP) system, the SmartWeb dialogue system, which was developed between 2004 and 2007 by partners from academia and industry. We have attempted to make this book a self-containing text and provide an extra section on the interdisciplinary scientific background. The target audience for this book comprises of researchers and students interested in the application potential of semantic technologies for difficult AI tasks such as working dialogue and QA systems.
Author : 郝天永
Publisher :
Page : 192 pages
File Size : 22,46 MB
Release : 2010
Category : Question-answering systems
ISBN :
Author : William A. Woods
Publisher :
Page : 148 pages
File Size : 11,51 MB
Release : 1977
Category : Computational linguistics
ISBN :
This paper is concerned with the semantic interpretation of natural English sentences by a computerized question-answering system, and specifically with the problems of interpreting and using quantification in such systems. These issues are presented and discussed from the perspective of four different natural language understanding systems with which the author has been involved. The presentation includes the process of semantic interpretation, the nature and organization of semantic interpretation rules, a notation for representing semantic interpretations (the meaning representation language), the semantics of that notation, and the generation and scoping of quantifiers. Also discussed are a variety of loose ends, open questions, and directions for future research. Particular attention is given to the interaction of syntactic, semantic (and pragmatic) information. (Author).
Author : Nico Schlaefer
Publisher :
Page : 92 pages
File Size : 49,45 MB
Release : 2007
Category : Computers
ISBN : 9783836450737
The discipline of question answering (QA) is concerned with the retrieval of accurate answers to natural language questions from a textual corpus. While early QA systems predominantly relied on lexical and syntactic techniques to find the correct answer in a document collection, semantic approaches have become increasingly popular as means of bridging the gap between questions and answers. The author Nico Schlaefer investigates how semantic resources can help to improve the accuracy of QA systems. Semantic parsing techniques are applied to transform questions into semantic structures and to find phrases in the document collection that match these structures. Ontologies are used to extract terms from questions and corpus sentences and to enrich the terms with semantically similar concepts. These resources are evaluated within the Ephyra framework, a state-of-the-art system for domain-independent QA. The book is intended for researchers and developers in the fields of natural language processing and information retrieval. It includes a brief overview of QA and introduces relevant algorithms and concepts from the fields of statistical modeling and graph theory.
Author : James R. McSkimin
Publisher :
Page : 36 pages
File Size : 44,39 MB
Release : 1977
Category :
ISBN :