Automatic Sense Derivation for Determinative-Measure Compounds under the Framework of E-HowNet

In this paper, we take Determinative-Measure Compounds as an example to demonstrate how the E-HowNet semantic composition mechanism works in deriving the sense representation for a newly coined determinative-measure (DM) compound. First, we define the sense of a closed set of each individual determiner and measure word in E-HowNet representation exhaustively. Afterwards, we make semantic composition rules to produce candidate sense representations for a newly coined DM. Then, we review development set to design sense disambiguation rules. We use these heuristic disambiguation rules to determine the appropriate context-dependent sense of a DM and its E-HowNet representation. The experiment shows that the current system reaches 89% accuracy in DM sense derivation and disambiguation.