Abstract: Existed hyponymy extraction methods of domain ontology concept are limited by manual annotation and specific patterns. Aiming at this problem, this paper proposes a hyponymy extraction method of domain ontology concept based on Cascaded Conditional Random Field(CCRF). It uses free text as extracting object, adopts two layers conditional random fields identifying the domain concepts. In lower-level conditional random fields model, it considers long distance dependence between words, makes modeling for words, and extracts concept in sequential, then obtains the concept with the characteristics of the template definition; In high-level model, it annotates semantic in pairs of concepts with hyponymy, identifies the hyponymy relation between domain ontology concept. Through real corpus open testing, the experimental results demonstrate the proposed method performs better.
Cascaded Conditional Random Field(CCRF),
domain ontology concept,