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自然语言处理的结构化预测Structured Prediction for Natural Language Processing |
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| 课程网址: | http://videolectures.net/icml09_smith_spn/ |
| 主讲教师: | Noah Smith |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This tutorial will discuss the use of structured prediction methods from machine learning in natural language processing. The field of NLP has, in the past two decades, come to simultaneously rely on and challenge the field of machine learning. Statistical methods now dominate NLP, and have moved the field forward substantially, opening up new possibilities for the exploitation of data in developing NLP components and applications. However, formulations of NLP problems are often simplified for computational or practical convenience, at the expense of system performance. This tutorial aims to introduce several structured prediction problems from NLP, current solutions, and challenges that lie ahead. Applications in NLP are a mainstay at ICML conferences; many ML researchers view NLP as a primary or secondary application area of interest. This tutorial will help the broader ML community understand this important application area, how progress is measured, and the trade-offs that make it a challenge. |
| 关 键 词: | 机器学习; 自然语言处理; 结构预测 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-10：cwx |
| 阅读次数: | 68 |