Automatic labeling of troponymy for Chinese verbs
نویسندگان
چکیده
以同義詞集與詞彙語意關係架構而成的詞彙知識庫,如英語詞網 (Wordnet)、歐語詞 網 (EuroWordnet)等,已有充分的研究,詞網的建構也已相當完善。基於相同的目的,中 研院語言所亦已建立大規模之中文詞彙網路 (Chinese Wordnet,CWN),旨在提供完整的 中文辭彙之詞義區分。然而,在目前之中文詞彙網路系統中,由於目前主要是採用人為判 定來標記同義詞集之間的語意關係,因此這些標記之數量尚未達成可行應用之一定規模。 因此,本篇文章特別針對動詞之間的上下位詞彙語意關係 (Troponymy),提出一種自動標 記的方法。我們希望藉由句法上特定的句型 (lexical syntactic pattern),建立一個能夠自 動抽取出動詞上下位的系統。透過詞義意判定原則的評估,結果顯示,此系統自動抽取出 的動詞上位詞,正確率將近百分之七十。本研究盼能將本方法應用於正在發展中的中文詞 網自動語意關係標記,以及知識本體之自動建構,進而能有效率的建構完善的中文詞彙知
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