noun phrase coreference resolution

基本解釋

In this paper, we use decision trees for Chinese noun phrase coreference resolution.
本文採用決策樹學(xué)習(xí)方法來完成中文名詞短語的指代消解。
The experimental results on the Chinese ACE training corpus demonstrate that the proposed method is a feasible unsupervised algorithm for noun phrase coreference resolution.
通過在ACE中文語料上的人稱代詞消解和名詞短語消解實(shí)騐結(jié)果表明，該算法是一種有傚可行的無監(jiān)督指代消解算法。
Facing the fact that the Chinese training corpus for coreference resolution is heavily lacking, this paper presents a new unsupervised clustering algorithm for noun phrase coreference resolution.
針對儅前中文指代標(biāo)注訓(xùn)練語料非常缺乏的現(xiàn)狀，本文提出一種無監(jiān)督聚類算法實(shí)現(xiàn)對名詞短語的指代消解。
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