PCFG parsing with CRF tagging for head recognition
نویسنده
چکیده
This paper presents our work for participation in the 2009 CIPS-Parseval shared task on Chinese syntactic tree parsing, for which we adopt a general PCFG parsing procedure with a conditional random fields (CRF) tagger for head constituent recognition. Our experiments show that an acceptable tagging result is obtained on the basis of a standard PCFG parsing output and a further evaluation on other parsing result also illustrates its effectiveness.
منابع مشابه
CRF tagging for head recognition based on Stanford parser
Chinese parsing has received more and more attention, and in this paper, we use toolkit to perform parsing on the data of Tsinghua Chinese Treebank (TCT) used in CIPS, and we use Conditional Random Fields (CRFs) to train specific model for the head recognition. At last, we compare different results on different POS results.
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