Extracting related named entities from blogosphere for event mining
Extracting related named entities from blogosphere for event mining
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DOI：
10.1145/1352793.1352841
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发表时间：
2008-01
期刊：
影响因子：
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通讯作者：
Yoshihiko Suhara;Hiroyuki Toda;A. Sakurai
中科院分区：
文献类型：
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作者：
Yoshihiko Suhara;Hiroyuki Toda;A. Sakurai
我们提出了一种方法，提取命名实体相关的一个单一的输入单词。从句子中的句法依存关系出发，提取与输入词所依存的谓词在句法上依存的格成分是合理的。但是，在日语中，在前一句中出现过的词往往被省略或替换。我们提出的方法，首先，提取“谓词模式”的情况下，粒子和谓词的情况下组成的元素。然后，它组合具有相同谓词的谓词模式，以形成可能的未删节依赖关系。
We propose a method of extracting named entities that are related to a single input word. Focusing on the syntactic dependency relation in sentences, it is reasonable to extract a case element that syntactically depends on the predicate that the input word depends on. In Japanese, though, a word which has appeared in a previous sentence is often omitted or replaced. Our proposed method, first, extracts "predicate patterns" consisting of case elements with case particles and a predicate. Then it combines predicate patterns that have the same predicate to form possible unabridged dependence relations.