In the original article, Equation (1) in Appendix B in Data Sheet 1 contains an error. The correct equation is: (1) mean[GNsim( word , label_1pos) + … + GNsim( word , label_Npos)] ? mean[GNsim( word , label_1neg) + … + GNsim( word , label_Nneg)] where GNsim is the so-called Lin similarity (Lin, 1998 ) defining semantic relatedness via a formula derived from information theory. This measure is sometimes called a universal semantic similarity measure as it is supposed to be application-, domain-, and resource independent (cf. Budanitsky and Hirst, 2006 ). label_1pos and label_1neg/label_Npos and label_Nneg are the first and last terms, respectively, in either the valence or AP lists given in S2 and S3 of the supplementary materials, i.e., BEFRIEDIGUNG (satisfaction), ANGST (fear), or VERGNüGEN (have fun), TRAUERN (mourn), and ANMUT (grace), WONNE (delight), or ABSCHEU (abomination), ZUMUTUNG (impertinence). The original file Data Sheet 1 in the Supplementary Material has been updated. Conflict of interest statement The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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机译：在原始文章中，数据表1附录B中的公式（1）包含错误。正确的等式是：（1）mean [GNsim（word，label_1pos）+…+ GNsim（word，label_Npos）]？ mean [GNsim（word，label_1neg）+…+ GNsim（word，label_Nneg）]其中GNsim是所谓的Lin相似性（Lin，1998年），它通过从信息论推导的公式定义语义相关性。这种度量有时称为通用语义相似性度量，因为它应该独立于应用程序，域和资源（参见Budanitsky和Hirst，2006年）。在补充材料的S2和S3中给出的价或AP列表中，label_1pos和label_1neg / label_Nneg和label_Nneg分别是第一和最后一项，即BEFRIEDIGUNG（满意），ANGST（恐惧）或VERGNüGEN（很有趣） ），TRAUERN（哀悼）和ANMUT（恩典），WONNE（喜悦）或ABSCHEU（憎恶），ZUMUTUNG（无礼）。补充材料中的原始文件数据表1已更新。利益冲突声明作者声明，这项研究是在没有任何可能被解释为潜在利益冲突的商业或金融关系的情况下进行的。
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