初步注解结果:双边对话的议价角色

Md. Alvee Islam Navid, K. Fujita
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引用次数: 0

摘要

谈判是常见的;然而,从这样的对话中挖掘重要的方面是具有挑战性的,因为缺乏适当的策略和使用预定的单词和句子,可能导致持续的争端或失败。此外,现有的研究主要集中在议价流程上,而忽视了谈判的语义作用和谈判作用。作为协商挖掘的第一步,本文提出了一种标注方案,以获得协商会话中标记段的最大数量。我们专注于在双边谈判中用于达成协议的独特谈判角色。我们在谈判中定义了五个标签:问候、询问、声明、对话行为和其他。这些标签包括考虑标签角色的属性和特性。我们通过招募四名注释者来进行注释,他们在阅读了指南并参加了几次培训会议后进行了注释。将数据集分成876个对话后,每个对话由两个注释者进行注释。我们评估了两个注释之间一致性的Cohen kappa度量,并获得了足够的分数来分析对话中的协商角色。特别是,对于检测谈判行为很重要的DialogAct,在理解谈判流程方面取得了很高的分数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary Annotation Results: Bargaining Roles for Bilateral Dialogues
Negotiations are common; however, mining important aspects from such dialogues is challenging because the lack of a proper strategy and the use of predetermined words, as well as sentences, could lead to on-going disputes or failure. In addition, existing studies have focused on bargaining flows but have neglected the semantic and negotiation roles of negotiations. As a first step in negotiation mining, this paper proposes an annotation scheme to obtain the maximum number of labeled segments in negotiation sessions. We focus on the unique negotiation roles used to come to agreements in bilateral bargaining. We define five labels in the negotiations: Greet, Inquiry, Statement, DialogAct, and Other. These labels include attributes and features that consider the roles of the labels. We conducted the annotation by recruiting four annotators, who performed the annotations after reading the guidelines and attending several training meetings. After the dataset was divided into 876 dialogues, each dialogue was annotated by two annotators. We evaluate the Cohen kappa measures of the agreement between two annotations and achieve a sufficient score to analyze the negotiation roles in the dialogues. In particular, DialogAct, which is important to detect negotiation actions, achieved a high score with respect to understanding the flow of the negotiations.
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