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7th international conference on Conceptual Structures, ICCS 1999

7th international conference on Conceptual Structures, ICCS 1999

ISBN: (纸本)3540662235

The proceedings contain 36 papers. The special focus in this conference is on CG Modeling and Understanding natural language. The topics include: Draft proposed american national standard;essential elements for the validation and execution of processes;user modeling as an application of actors;spatial universals as the human spatial notion;knowledge engineering with semantic and transfer links;a peircean framework of syntactic structure;a CG-based behavior extraction system;extending the conceptual graph approach to represent evaluative attitudes in discourse;implementing a semantic lexicon;analysis of task-oriented conversations into conceptual graph structures;using conceptual graphs as a common representation for data and configuration in an active image processing system;a software system for learning peircean graphs;a conceptual graph activation-based language;on developing case-based tutorial systems with conceptual graphs;CGs versus XML-based metadata languages;synergy as an hybrid object-oriented conceptual graph language;a java API for developing CG tools;modeled in a CG meta-representation language;using conceptual graphs to solve a resource allocation task;WebKB and the sisyphus-I problem;constraints and goals under the conceptual graph formalism;a pure graph-based solution to the SCG-1 initiative;contextual attribute logic;algorithms for creating relational power context families from conceptual graphs;the lattice of concept graphs of a relationally scaled context;contexts in information systems development;conceptual structures represented by conceptual graphs and formal concept analysis;a simulation of co-identity with rules in simple and nested graphs and conceptual graphs as algebras.

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natural language access to Yellow Pages

Natural language access to Yellow Pages

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international conference on knowledge-Based Intelligent Information engineering Systems (KES)

作者： U. Kruschwitz A. De Roeck P. Scott S. Steel R. Turner N. Webb Department of Computer Science University of Essex Colchester Essex UK

YPA (Yellow Pages Assistant) is a telephone directory enquiry system that allows a user to access addresses and other advertiser information in a classified directory. BT's Yellow Pages provide an example of a cla... 详细信息

关键词： natural languages Databases natural language processing Information retrieval Steel Computer science Data mining Contracts Laboratories Telecommunications

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Intelligent Web representatives

Intelligent Web representatives

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international conference on Tools for Artificial Intelligence (ICTAI)

作者： D. Sapp Y. Shang Department of Computer Engineering and Computer Science University of Missouri Columbia Columbia MO USA University of Missouri Columbia MO US

We present the design and implementation of an intelligent Web representative based on prevalent Internet and Web technologies. The design includes three parts: natural language parser, knowledge representation, and communication between the user and the computer. With an efficient pseudo-natural language processing, a database of knowledge stored in XML, and the user communication through Microsoft Agent, the intelligent agent can answer questions effectively.

关键词： Intelligent agent natural languages Databases XML Internet Humans knowledge representation Information retrieval Design engineering Computer science

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The extraction method of the word meaning class

The extraction method of the word meaning class

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international conference on knowledge-Based Intelligent Information engineering Systems (KES)

作者： K. Tsuda M. Nakamura Graduate School of Systems Management University of Tsukuba Tokyo Tokyo Japan Integrated Solution Planning Department Sumitomo Metal Systems Development Company Limited Osaka Japan

In natural language processing, the semantic class information about a word is an important piece of knowledge. For a thesaurus dictionary, which shows the semantic information between words, the editing work is normally carried out manually, which means that a great number of man-hours is necessary for the editing work. This paper proposes a method of extracting the semantic class information on a word from a set of documents. This information is extracted by using the characteristic that the frequency of abstract words is high while the frequency of concrete words is small. As a result of this experiment, it was confirmed that about 20% of the extracted words should be registered in the thesaurus dictionary.

关键词： Dictionaries Thesauri Frequency Data mining Concrete knowledge management natural language processing natural languages Intelligent systems Intelligent structures

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Application of fuzzy quantifiers in image processing: A case study

International Conference on Knowledge-Based Intelligent Elec...

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international conference on knowledge-Based Intelligent Electronic Systems, Proceedings, KES 1999年 259-262页

作者： Gloeckner, Ingo Knoll, Alois Univ of Bielefeld Bielefeld Germany

Fuzzy quantifiers, i.e. operators intended to provide a numerical interpretation of natural language (NL) quantifiers like `almost all', are valuable tools for image processing, in particular to express accumulative (second order) properties of fuzzy image regions. However, approaches to fuzzy quantification will unfold their full potential only if the proposed operators capture the meaning of NL quantifiers. We present an exemplary evaluation of one of the most prominent approaches to fuzzy quantification, Yager's OWA approach, with respect to its suitability to model NL quantification over fuzzy image regions.

关键词： Fuzzy sets

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Application of fuzzy quantifiers in image processing: a case study

Application of fuzzy quantifiers in image processing: a case...

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international conference on knowledge-Based Intelligent Information engineering Systems (KES)

作者： I. Glockner A. Knoll Technical Computer Science Faculty of Technology University of Bielefeld Bielefeld Germany

Fuzzy quantifiers, i.e. operators intended to provide a numerical interpretation of natural language (NL) quantifiers like 'almost all', are valuable tools for image processing, in particular to express accumulative (second order) properties of fuzzy image regions. However approaches to fuzzy quantification will unfold their full potential only if the proposed operators capture the meaning of NL quantifiers. We present an exemplary evaluation of one of the most prominent approaches to fuzzy quantification (R.R. Yager's (1988) OWA approach), with respect to its suitability to model NL quantification over fuzzy image regions.

关键词： Image processing Computer aided software engineering Open wireless architecture Pixel Fuzzy set theory Application software Computer science natural languages Fuzzy systems Image retrieval

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Rule generation from neural networks for student assessment

Rule generation from neural networks for student assessment

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international Joint conference on Neural Networks (IJCNN)

作者： M.J. McAlister S. Wermter School of Computing Engineering and Technology Informatics Centre University of Sunderland Sunderland UK

HyValue is a hybrid electronic submission system which utilizes techniques from natural language processing, neural networks and rule based systems to accept, evaluate and mark work submitted by a student for reading or writing. This paper describes the theory behind the system design and the development of the individual components and their interaction. Issues addressed include the definition of sentence structure, fuzzy rule construction and integration with a knowledge base containing the marking rubrics for reading and writing. An evaluation of the system is provided and conclusions drawn.

关键词： Neural networks Writing Computer networks Informatics natural language processing knowledge based systems Educational programs Application software Software systems Instruction sets

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Multi-lingual intelligent information retriever with automated ontology generator

Multi-lingual intelligent information retriever with automat...

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international conference on knowledge-Based Intelligent Information engineering Systems (KES)

作者： K. Yoshinaga T. Terano Ning Zhong Japan Research Institute Limited Chiyoda Tokyo Japan Graduate School of Systems Management University of Tsukuba Tokyo Bunkyo Tokyo Japan Department of Computer Science and Systems Engineering Yamaguchi University Ube Japan

We propose a new information retriever on the Web which: automatically classifies collected documents; and retrieves multi-lingual information (e.g., Japanese and/or English). This is attained by the mechanism of ontology processing. We set up a multi-lingual ontology as an index dictionary. The ontology manages the relations of keywords and the weights of keywords for domain categories to classify the documents. The system has the following features: users can use any keywords expressed in their native language to search for the Web documents, even if they contain multi lingual information; and the documents can be classified into specific domain categories by tuning the keyword weights up.

关键词： Information retrieval Ontologies natural languages Navigation Computer science engineering management Systems engineering and theory Dictionaries Search engines Intelligent systems

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Fast accent identification and accented speech recognition

Fast accent identification and accented speech recognition

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international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Liu Wai Kat P. Fung Human Language Technology Center Department of Electrical and Electronic Engineering University of Science and Technology (HKUST) Hong Kong China

The performance of speech recognition systems degrades when speaker accent is different from that in the training set. Accent-independent or accent-dependent recognition both require collection of more training data. In this paper, we propose a faster accent classification approach using phoneme-class models. We also present our findings in acoustic features sensitive to a Cantonese accent, and possibly other Asian language accents. In addition, we show how we can rapidly transform a native accent pronunciation dictionary to that for accented speech by simply using knowledge of the native language of the foreign speaker. The use of this accent-adapted dictionary reduces recognition error rate by 13.5%, similar to the results obtained from a longer, data-driven process.

关键词： Speech recognition natural languages Loudspeakers Hidden Markov models Frequency Dictionaries Humans Training data Databases Stress

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JurisConsulto: retrieval in jurisprudencial text bases using juridical terminology 99

JurisConsulto: retrieval in jurisprudencial text bases using...

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Proceedings of the 7th international conference on Artificial intelligence and law

作者： Tânia C. D'Agostini Bueno Christiane Gresse von Wangenheim Eduardo da Silva Mattos Hugo Cesar Hoeschl Ricardo M. Barcia Graduate Program - Production Engineering Federal University of Santa Catarina Brazil

ISBN: (纸本)9781581131659

In the legal domain, jurisprudence has an important role as a juridical source; its decisions support the application of the Law to a concrete case. The problem is that Brazilian Courts produce an enormous amount of decisions every year, turning these text sources larger every time and forcing juridical professionals to spend more time in the search for a relevant decision. Sophisticated AI techniques are needed to minimize searches time and improves the quality and appropriateness of the retrieved information. This paper describes a case-based approach for the intelligent retrieval of jurisprudencial texts. The approach enables the retrieval of adequate texts with characteristics similar to information supplied by the user in natural language. New documents are automatically included into the knowledge base by extracting relevant information. In order to enable the processing of informal textual knowledge in natural language, a controlled vocabulary and a juridical thesaurus based on common juridical terminology, is integrated into the retrieval and extraction process. The approach is based on sentences to criminal proceedings in the domain of the Brazilian Right.

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