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近日ACL2018发布了论文录取消息，实验室张冬瑜老师的论文“ Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions”被录取。
Metaphors are frequently used to convey emotions. However, there is little research on the construction of metaphor corpora annotated with emotion for the analysis of emotionality of metaphorical expressions. Furthermore, most studies focus on English, and few in other languages, particularly Sino-Tibetan languages such as Chinese, for emotion analysis from metaphorical texts, although there are likely to be many differences in emotional expressions of metaphorical usages across different languages. We, therefore, construct a manually annotated corpus consisting of a total of 5,230 sentences, 67,258 words to analyze emotions in linguistic metaphors in Chinese. We present an annotation scheme, which contains annotations of metaphor (source/target words), seven emotional categories (joy, anger, sadness, fear, love, disgust and surprise), and intensity. The annotation agreement analyses for multiple annotators are described. We also use the corpus to explore and analyze the emotionality of metaphors. Our results indicate that a significant proportion (92%) of Chinese metaphorical expressions in the dataset conveys emotions and the most frequent emotions are anger and fear. Finally, we suggest potentials of the corpus contributing to automatic emotion and metaphor detection as well as further investigating mechanisms underlying emotion in metaphor from the perspectives of different cultures for future work.