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Ontological reasoning for improving the treatment of emotions in text

机译：本体推理改善文本情感处理

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摘要

With the advent of affective computing, the task of adequately identifying, representing and processing the emotional connotations of text has acquired importance. Two problems facing this task are addressed in this paper: the composition of sentence emotion from word emotion, and a representation of emotion that allows easy conversion between existing computational representations. The emotion of a sentence of text should be derived by composition of the emotions of the words in the sentence, but no method has been proposed so far to model this compositionality. Of the various existing approaches for representing emotions, some are better suited for some problems and some for others, but there is no easy way of converting from one to another. This paper presents a system that addresses these two problems by reasoning with two ontologies implemented with Semantic Web technologies: one designed to represent word dependency relations within a sentence, and one designed to represent emotions. The ontology of word dependency relies on roles to represent the way emotional contributions project over word dependencies. By applying automated classification of mark-up results in terms of the emotion ontology the system can interpret unrestricted input in terms of a restricted set of concepts for which particular rules are provided. The rules applied at the end of the process provide configuration parameters for a system for emotional voice synthesis.
机译：随着情感计算的出现，充分识别，表示和处理文本的情感内涵的任务变得越来越重要。本文解决了该任务面临的两个问题：单词情感构成句子情感的方式以及情感表达方式，可以方便地在现有的计算表示方式之间进行转换。文本句子的情感应该通过句子中单词的情感组成来推导，但是到目前为止，尚未提出任何方法来模拟这种组成。在表示情绪的各种现有方法中，有些方法更适合某些问题，而有些则更适合其他问题，但是没有简单的方法可以将一种方法转换为另一种方法。本文提出了一种系统，该系统通过使用语义Web技术实现的两种本体进行推理来解决这两个问题：一个本体用于表示句子中的单词依存关系，另一个用于表示情感。单词依赖的本体依赖于角色来表示情绪贡献投射在单词依赖上的方式。通过根据情感本体对标记结果进行自动分类，系统可以根据为特定规则提供的一组受限制的概念来解释不受限制的输入。在该过程结束时应用的规则为情感语音合成系统提供了配置参数。

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