Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues
Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues
复制标题
自动更正的自主自我评估：探索短信对话
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Chai
中科院分区：
文献类型：
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作者：
Tyler Baldwin;J. Chai
文本输入辅助设备，例如自动更正系统，在促进文本消息用户之间的快速文本输入和有效通信方面发挥着越来越重要的作用。虽然这些工具在正确工作时是有益的，但当它们失败时，它们可能会导致严重的通信问题。为了提高其自动校正性能，重要的是系统具有评估自身性能并从错误中学习的能力。为了解决这个问题，本文提出了一种新的任务，自我评估的自动更正性能的基础上，短信用户之间的互动。作为这项调查的一部分，我们从真正的短信用户那里收集了一个自动纠正错误的数据集，并在我们的自我评估任务中尝试了一组丰富的功能。我们的实验结果表明，有显着的线索，从短信话语，让系统评估自己的行为与高精度。
Text input aids such as automatic correction systems play an increasingly important role in facilitating fast text entry and efficient communication between text message users. Although these tools are beneficial when they work correctly, they can cause significant communication problems when they fail. To improve its autocorrection performance, it is important for the system to have the capability to assess its own performance and learn from its mistakes. To address this, this paper presents a novel task of self-assessment of autocorrection performance based on interactions between text message users. As part of this investigation, we collected a dataset of autocorrection mistakes from true text message users and experimented with a rich set of features in our self-assessment task. Our experimental results indicate that there are salient cues from the text message discourse that allow systems to assess their own behaviors with high precision.