The joint extraction of entities and their relations from certain texts plays a significant role in most natural language *** entity and relation extraction in a specific domain,we propose a hybrid neural framework co...
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The joint extraction of entities and their relations from certain texts plays a significant role in most natural language *** entity and relation extraction in a specific domain,we propose a hybrid neural framework consisting of two parts:a span-based model and a graph-based *** span-based model can tackle overlapping problems compared with BILOU methods,whereas the graph-based model treats relation prediction as graph *** main contribution is to incorporate external lexical and syntactic knowledge of a specific domain,such as domain dictionaries and dependency structures from texts,into end-to-end neural *** conducted extensive experiments on a Chinese military entity and relation extraction *** results show that the proposed framework outperforms the baselines with better performance in terms of entity and relation *** proposed method provides insight into problems with the joint extraction of entities and their relations.
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