CRF based dynamic relations extraction from web
Lihua Yue · 2010
New methods for extracting dynamic relations from web resources such as news pages were proposed.A relation was defined as dynamic if its instances changed over time.An example was the employment relation between people and companies.The nature of dynamic relations required the extraction methods to capture the temporal context of the relation.While most previous work on this topic has been domain-specific,a domain-independent,general approach was proposed using a conditional random fields(CRF)based technique.Experiment results show the practicality and precision of the proposed approach by experiments with news pages from the web.