Identifying entities from scientific publications: A comparison of vocabulary- and model-based methods
Five vocabulary- and model-based methods to extract terms from scientific publications are evaluated. Three conditional random fields (CRF)-based methods outperform the two vocabulary-based ones. CRF with keyword-based dictionary method has the best performance. The keyword-based one has a higher recall and the Wikipedia-based one has a higher precision.
conditional random fields dictionary entity extraction vocabulary content-aware