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HuRIC: a Human Robot Interaction Corpus

机译：HURIC：一种人体机器人互动语料库

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摘要

Recent years show the development of large scale resources (e.g. FrameNet for the Frame Semantics) that supported the definition of several state-of-the-art approaches in Natural Language Processing. However, the reuse of existing resources in heterogeneous domains such as Human Robot Interaction is not straightforward. The generalization offered by many data driven methods is strongly biased by the employed data, whose performance in out-of-domain conditions exhibit large drops. In this paper, we present the Human Robot Interaction Corpus (HuRIC). It is made of audio files paired with their transcriptions referring to commands for a robot, e.g. in a home environment The recorded sentences are annotated with different kinds of linguistic information, ranging from morphological and syntactic information to rich semantic information, according to the Frame Semantics, to characterize robot actions, and Spatial Semantics, to capture the robot environment. All texts are represented through the Meaning Representation, to adopt a simple but expressive representation of commands, that can be more easily translated into the internal representation of the robot.
机译：近年来，展示了大规模资源的发展（例如框架语义的FrameNet），支持在自然语言处理中的几种最先进方法的定义。然而，在人体机器人交互等异质域中的现有资源的重用并不简单。许多数据驱动方法提供的概括由所采用的数据强烈偏向，其在域外条件下的性能表现出大滴。在本文中，我们介绍了人体机器人相互作用语料库（飓风）。它由与其转录配对的音频文件制成，参考机器人的命令，例如，在一个家庭环境中，记录的句子通过不同种类的语言信息注释，根据帧语义来计算富裕的语义信息，以表征机器人操作和空间语义，以捕获机器人环境。所有文本都是通过意义表示表示的，采用一个简单但表达的命令表示，这可以更容易地翻译成机器人的内部表示。

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