System for recognising and classifying named entities
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United States of America Patent
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Issued Date -
Mar 22, 2007
app pub date -
Dec 31, 2003
filing date -
Dec 31, 2003
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A Hidden Markov Model is used in Named Entity Recognition (NER). Using the constraint relaxation principle, a pattern induction algorithm is presented in the training process to induce effective patterns. The induced patterns are then used in the recognition process by a back-off modelling algorithm to resolve the data sparseness problem. Various features are structured hierarchically to facilitate the constraint relaxation process. In this way, the data sparseness problem in named entity recognition can be resolved effectively and a named entity recognition system with better performance and better portability can be achieved.
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