图 书 馆
声誉防御策略分类的自动标记数据生成Automatically labeled data generation for classification of reputation defence strategies |
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| 课程网址: | http://videolectures.net/parlaCLARIN2018_naderi_defence_strategie... |
| 主讲教师: | Nona Naderi |
| 开课单位: | 多伦多大学 |
| 开课时间: | 2018-05-30 |
| 课程语种: | 英语 |
| 中文简介: |  声誉防御是一种有说服力的策略，可用于各种社会环境中，尤其是在政治局势中。声誉防御策略的检测是一项新颖的任务，可以帮助进行论证推理。在这里，我们提出了一种自动为声誉防御策略标记训练数据的方法。我们对来自加拿大议会的约14,000对问题和答案进行了实验，并自动创建了以声誉防御策略为注释的问题和答案集。我们将进一步评估自动标记数据的质量。 |
| 课程简介: | Reputation defence is a form of persuasive tactic that is used in various social settings especially in political situations. Detection of reputation defence strategy is a novel task that could help in argument reasoning. Here, we propose an approach to automatically label training data for reputation defence strategies. We experimented with about 14,000 pairs of questions and answers from the Canadian Parliament, and automatically created a corpus of questions and answers annotated with reputation defence strategies. We further assess the quality of the automatically labeled data. |
| 关 键 词: | 声誉防御; 数据; 语料库 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-02：yxd |
| 最后编审: | 2020-11-04：zyk |
| 阅读次数: | 29 |