earticle

영어

Entity recognition and entity relationship extraction are two very important tasks in information extraction. Most research work in the literature treats these two work independently when processing the text. This paper proposes a novel method for performing entity recognition and entity relationship extraction simultaneously from unstructured text based on Conditional Random Fields (CRFs). This method makes use of entity features, entity relationship features and features of the triples which is composed of entities and their relationship to conduct the model training. Experiment results show that this method can recognize entity and extract entity relationship effectively.