Constructing field association words using new weight functions of concurrent words

In this paper, the importance of co-occurrence information in the NLP system, the classification technique of the co-occurrence word are introduced. This paper proposes a new method for deciding FA terms using the weight of co-occurrence and declinable words which related to a narrow association cat...

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Bibliographic Details
Main Authors: El-Sayed Atlam, Elmarhomy, G., Fuketa, M., Morita, K., Aoe, J.
Format: Conference Proceeding
Language:English
Subjects:
Cellular neural networks
Electronic mail
Frequency
Information retrieval
Information science
Intelligent systems
System testing
Online Access:Request full text
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Summary:In this paper, the importance of co-occurrence information in the NLP system, the classification technique of the co-occurrence word are introduced. This paper proposes a new method for deciding FA terms using the weight of co-occurrence and declinable words which related to a narrow association category with eliminating FA terms ambiguity.
DOI:10.1109/AMT.2005.1505329