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- 2018
对话语篇中对话者的心理距离预测初探
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Abstract:
在对话语篇的分析研究中，对话行为与对话意图是很多研究者关注的焦点，具有重要的研究价值，为了能够更好地理解对话蕴含的机制，该文针对心理距离与对话行为分布做了探讨。针对已标注的对话语料内容，建立一个心理距离预测模型，同时通过研究对话行为的分布，分析得出具体差异。研究表明：在工作和爱情话题中，对话内容的心理距离得分较高，代表对话双方关系密切，问答对话有所增多，而天气话题和交通话题得分较低，对话双方关系疏远，阐述性质对话增多，并且在不同心理距离影响下，对话的反馈类型分布也有所区别。在经过对人工标注的实验数据统计分析之后，初步验证了该模型在对话者心理距离预测方面的可行性，为后续进行对话内容自动分析标注研究打下了良好的基础。
Abstract：Dialogue behavior and dialogue intention are the key focal points in dialogue discourse studies. The dialogue mechanism is analyzed here in terms of the psychological distance and dialogue behavior. A psychological distance prediction model was developed to study the corpus with differences identified by studying the dialogue behavior distribution. This study shows that psychological distance scores are higher for work and love topics, when the speakers have a close relationship and in question-answer dialogue. So the scores are lower for weather and traffic topics, alienated relationships, and statement dialogues. The psychological distance is then related to the response type distributions. A statistical analysis of the dialogue behavior confirms the feasibility of the psychological distance prediction modelfor the future studies of dialogue content.
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