通过远程监督实体-事件提取来识别被警察杀害的平民Identifying civilians killed by police with distantly supervised entity-event extraction |
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课程网址: | http://videolectures.net/kdd2017_oconnor_identifying_civilians/ |
主讲教师: | Brendan O'Connor |
开课单位: | 视频讲座网 |
开课时间: | 2017-12-01 |
课程语种: | 英语 |
中文简介: | 我们为自然语言处理提出了一个新的、具有社会影响力的任务:从新闻语料库中提取被警察杀害的人的名字。我们提出了一个新收集并公开发布的警察死亡语料库,并提出了一个模型来解决这一问题,该模型使用基于em的远程监督,结合逻辑回归和卷积神经网络分类器。我们的模型优于两个现成的事件提取系统,在某些情况下,它可以比一个主要的人工收集的警察死亡数据库更快地提出候选受害者的名字。 |
课程简介: | We propose a new, socially-impactful task for natural language processing: from a news corpus, extract names of persons who have been killed by police. We present a newly collected police fatality corpus, which we release publicly, and present a model to solve this problem that uses EM-based distant supervision with logistic regression and convolutional neural network classifiers. Our model outperforms two off-the-shelf event extractor systems, and it can suggest candidate victim names in some cases faster than one of the major manually-collected police fatality databases. |
关 键 词: | 自然语言; 新闻语料; 远程监督 |
课程来源: | 视频讲座网 |
数据采集: | 2022-12-16:chenxin01 |
最后编审: | 2022-12-16:chenxin01 |
阅读次数: | 29 |