noun phrase coreference resolution

基本解釋

In this paper, we use decision trees for Chinese noun phrase coreference resolution.
本文采用決策樹學(xué)習(xí)方法來完成中文名詞短語(yǔ)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(yǔ)料上的人稱代詞消解和名詞短語(yǔ)消解實(shí)驗(yàn)結(jié)果表明，該算法是一種有效可行的無(wú)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(duì)當(dāng)前中文指代標(biāo)注訓(xùn)練語(yǔ)料非常缺乏的現(xiàn)狀，本文提出一種無(wú)監(jiān)督聚類算法實(shí)現(xiàn)對(duì)名詞短語(yǔ)的指代消解。
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