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Chinese named entity recognition (NER) is studied in two directions: inner structure and outer surroundings. Inner structural analyses induce constitutions of person, location and organization name from the point of linguistics. However inner structural rules for named entities only provide necessary conditions for a sequence of Chinese characters being an entity name but not sufficient. Whether a...
Since noun phrases are the most popular phrases in texts, noun phrase identification is one of vital subtasks of natural language processing. Generally Chinese noun phrases have hierarchical inner structures. This paper proposes an approach of defining various levels of granularity for noun phrases, catering for different application demands. Three levels of granularity noun phrases are proposed,...
A specific prototype information service system was proposed by this paper, which can send interesting information to user with database search way from unstructured text. In order to achieve this goal, two fundamental issues were studied by using maximum entropy (ME) algorithm, which is named entity recognition and relation extraction. Our named entity recognition approach is distinguished from most...
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