Automatic Parsing of Chinese Functional Chunks
Zhao Ying-ze · Zhongwen xinxi xuebao · 2007
Chinese functional chunks are defined as a series of non-overlapping,non-nested skeleton segments of a sentence,representing the implicit grammatical relations between the sentence-level predicates and their arguments.In this paper,we proposed two statistical models for parsing four main functional chunks in a sentence.In the chunk boundary detection model,we focus on building the sub models based on SVM algorithm for detecting SP(subject-predicate) and PO(predicate-object) boundaries.In the sequence labeling model,we formulate the chunking task as a sequence labeling problem and base our model on CRF algorithm.By introducing some revision rules,we build a combined parsing model which integrates the advantages of both statistical models and have achieved the best F-Score of 82.93%,86.58%,78.46% and 86.64%for subject,predicate,object and adverb functional chunks respectively.Experimental results show that the complex clauses and serial verb structures are the main recognition difficulties.