Topic Information Based Neural Network Model for Fine-grained Entity Type Classification
نویسندگان
چکیده
Entity recognition is an important part of natural language processing, but nowadays most entity recognition systems are restricted to a limited set of entity classes (e.g., person, location, organization or miscellaneous). Therefore, fine-grained entity type classification becomes a hot issue to further study. This paper proposed a neural network model based on topic information for fine-grained entity type classification. It takes topic information into account when constructs a model in order to attain a better performance on the classification.
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