图 书 馆
永无止境语言学习系统中的事实自动标注Automatically Labeling Facts in a Never-Ending Language Learning system |
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| 课程网址: | http://videolectures.net/sikdd2014_hruschka_labeling_facts/ |
| 主讲教师: | Estevam R. Hruschka |
| 开课单位: | 美国联邦大学 |
| 开课时间: | 2014-12-01 |
| 课程语种: | 英语 |
| 中文简介: |  Never Ending Language Learner (NELL)1 是一个 24/7 全天候运行的计算机系统，永远学习阅读网络。从网络中提取（阅读）更多事实，并将其整合到其不断增长的信仰知识库中； ii) 学会比昨天更好地阅读，使其能够回到昨天阅读的文本，今天更准确地提取更多事实。该系统已经运行了四年多，每天 24 小时。迄今为止的结果是收集了 7000 万个相互关联的信念（例如，servedWith(coffee, applePie), isA(applePie, bakeGood)），NELL 正在考虑不同的置信度，以及数十万个学习的短语、形态NELL 用来从 web2 中提取信念的特征和网页结构。 |
| 课程简介: | Never-Ending Language Learner (NELL)1 is a computer system that runs 24/7, forever, learning to read the web. extract (read) more facts from the web, and integrate these into its growing knowledge base of beliefs; and ii) learn to read better than yesterday, enabling it to go back to the text it read yesterday, and today extract more facts, more accurately. This system has been running 24 hours/day for over four years now. The result so far is a collection of 70 million interconnected beliefs (e.g., servedWith(coffee, applePie), isA(applePie, bakedGood)), that NELL is considering at different levels of confidence, along with hundreds of thousands of learned phrasings, morphological features, and web page structures that NELL uses to extract beliefs from the web2 . |
| 关 键 词: | 置信度; 计算机系统; 学习阅读网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-23：zyk |
| 最后编审: | 2021-06-24：liyy |
| 阅读次数: | 91 |