基于词移动距离的会话人际语言协调模型
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance
摘要：
语言协调是口语对话中的一种常见现象，通常与积极的社会行为和结果有关。虽然在文学作品中有许多尝试来衡量词汇协调或夹带，但只有少数人在句法或语义空间中探索协调。在这项工作中，我们试图通过利用神经词表征空间中的距离将协调的这些不同方面结合到一个单一的度量中。特别是，我们采用了最近提出的词移动者的距离与word2vec嵌入和扩展它来衡量在多个连续的扬声器轮流使用的语言的相异性。为了验证我们的方法，我们应用这种措施在临床心理学领域的两个案例研究。我们发现，我们提出的措施是相关的治疗师对他们的病人在动机访谈和情感行为的夫妇治疗的同理心。在这两个案例研究中，我们提出的度量表现出更高的相关性比以前提出的措施。当应用于夫妻关系改善，我们也注意到在治疗过程中，提出的措施显着减少，表明更高的语言协调。
英文摘要：
Linguistic coordination is a well-established phenomenon in spoken conversations and often associated with positive social behaviors and outcomes. While there have been many attempts to measure lexical coordination or entrainment in literature, only a few have explored coordination in syntactic or semantic space. In this work, we attempt to combine these different aspects of coordination into a single measure by leveraging distances in a neural word representation space. In particular, we adopt the recently proposed Word Mover's Distance with word2vec embeddings and extend it to measure the dissimilarity in language used in multiple consecutive speaker turns. To validate our approach, we apply this measure for two case studies in the clinical psychology domain. We find that our proposed measure is correlated with the therapist's empathy towards their patient in Motivational Interviewing and with affective behaviors in Couples Therapy. In both case studies, our proposed metric exhibits higher correlation than previously proposed measures. When applied to the couples with relationship improvement, we also notice a significant decrease in the proposed measure over the course of therapy, indicating higher linguistic coordination.
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