A practical framework for formalizing and extracting Chinese collocations

In this paper we argue for a word-sense based formalization for collocation, and proposes a seed-based approach for collocation extraction for specific purposes. The approach uses RFR_SUM model to iteratively classify polysemous word sense in the corpus. The collocation strength is also obtained by RFR. To capture the syntactic relation inside collocations, this paper presents a frame-based collocation extraction method, which uses word-related frames to obtain collocation with structural information automatically from a large-scale corpus with an average accuracy rate of 89.69%.