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内容简介
Natural language processing(NLP) requires varieties of knowledge. Linguistic knowledge such as grammar and dictionaries has been developed and shared among the researchers in NLP for a decade or so. But general knowledge for use in NLP is not. When we consider about man-machine dialogue we have to prepare lots of knowledge, and also strong inference functions such as logical inference and common sense reasoning In this talk I will first explain some new developments in knowledge for computational linguistics, then discuss about what kind of knowledge is required for a dialogue system. Information retrieval on the Web is an important technology. Main research interest of current information retrieval is how the system can discard huge amount of retrieved information which is not so well fitted to the retrieval purposes, and focus on some essential information. However we have to be always careful about the quality of information on the Web. Therefore, an important next step will be to check and indicate how reliable the obtained information from the Intemet is. Estimating the confidence degree of information is a very difficult problem. I will discuss some possible ways of estimating the confidence degree of information. Natural language processing technologies as well as logical and common sense reasoning are involved in the estimation.
目录
Keynote Speech
Word Sense Disambiguation
Language Modeling
Speech Recognition
Spoken Language Procssing and Dialog System
Text-To-Speech Synthesis
Natural Lannguage Learning,Generation
Natural Language Understanding
Lexical Resources and Corpora base
Ontology,Semantic Web and Knowledge Acquisiton
Statisisc vs.Linguistic Approaches and Systems evaluation
Machine Translation
Multi-lingual,Multi-Function and Multi-Media Systems,Multi-Agent Systems
Information Retrieval,Induction-based Knowledge Creation From Information
Information Extraction
Text Categorization
Text Summarization
Information-Kmowledge-Intelligence Transformations,Web-page Security Monitoring
Applications in E-Commerce,Education and Large-scale International Events
Other Applications
Knowledge Representation and Discovery
Machine Learning
Other Issues Related to Knowledge Theory
Special Sessions:Processing of Emotion and its Application for Human Support