论文标题
隐喻释义生成：带有字面文本的喂养隐喻语言模型
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts
论文作者
论文摘要
这项研究提出了一种新的方法来通过掩盖字面句子的字面代币并使用隐喻语言模型揭示它们，从而提出了一种新的方法。与类似的研究不同，所提出的算法不仅关注动词，还关注名词和形容词。尽管前者的转移率最高（56％），但后者的转移是可行的（24％和31％）。人类评估表明，我们的系统生成的隐喻被认为比人类生成的隐喻更具创造力和隐喻性，而在使用我们的传输隐喻进行数据增强时，在F1中，在隐喻句子分类中改善了3％的隐喻句子分类状态。
This study presents a new approach to metaphorical paraphrase generation by masking literal tokens of literal sentences and unmasking them with metaphorical language models. Unlike similar studies, the proposed algorithm does not only focus on verbs but also on nouns and adjectives. Despite the fact that the transfer rate for the former is the highest (56%), the transfer of the latter is feasible (24% and 31%). Human evaluation showed that our system-generated metaphors are considered more creative and metaphorical than human-generated ones while when using our transferred metaphors for data augmentation improves the state of the art in metaphorical sentence classification by 3% in F1.
