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A Rule-based Semantic Frame Annotation of Arabic Speech Turns for Automatic Dialogue Analysis

机译:基于规则的阿拉伯语音转弯语义框架注释,用于自动对话分析

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In this article, and after sketching the state of the art on semantic representations, we have deduced that an important technological lock that hinders the H/M Spoken Dialogue System (SDS) is the adoption of the attribute/value schemes as a semantic representation. Besides, current systems, using such a representation (form of a formula), constrain too much their users to behave according to the model set by the designer. Thus, in order to overcome all the limitations of the modeling by a pre-established form, we decided to choose the use of semantic frames as a representation of the meanings of Arabic user statements. In this perspective, the choice of the FrameNet paradigm as a high level semantic representation seems appropriate. In addition to the robustness of the paradigm, FrameNet has the advantage of producing standard annotations that are easy to share and compare within the scientific community. To represent more complex user rounds, we propose to use, in the understanding module, a semantic model that is more flexible than that of a predefined form.
机译:在本文中,在概述了语义表示的最新技术之后,我们推断出阻碍H / M语音对话系统(SDS)的重要技术锁是采用属性/值方案作为语义表示。此外,当前的系统使用这样的表示形式(公式的形式)来约束他们的用户太多,以致无法根据设计者设置的模型进行操作。因此,为了通过预先建立的形式克服建模的所有限制,我们决定选择使用语义框架来表示阿拉伯用户声明的含义。从这个角度来看,选择FrameNet范式作为高级语义表示似乎是适当的。除了范式的鲁棒性之外,FrameNet还具有产生易于在科学界共享和比较的标准注释的优点。为了表示更复杂的用户回合,我们建议在理解模块中使用比预定义形式更灵活的语义模型。

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