图 书 馆
自然语言理解:基础和最新技术Natural Language Understanding: Foundations and State-of-the-Art |
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| 课程网址: | http://videolectures.net/icml2015_liang_language_understanding/ |
| 主讲教师: | Percy Liang |
| 开课单位: | 斯坦福大学计算机科学系 |
| 开课时间: | 2015-12-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Building systems that can understand human language—being able to answer questions, follow instructions, carry on dialogues—has been a long-standing challenge since the early days of AI. Due to recent advances in machine learning, there is again renewed interest in taking on this formidable task. A major question is how one represents and learns the semantics (meaning) of natural language, to which there are only partial answers. The goal of this tutorial is (i) to describe the linguistic and statistical challenges that any system must address; and (ii) to describe the types of cutting edge approaches and the remaining open problems. Topics include distributional semantics (e.g., word vectors), frame semantics (e.g., semantic role labeling), model-theoretic semantics (e.g., semantic parsing), the role of context, grounding, neural networks, latent variables, and inference. The hope is that this unified presentation will clarify the landscape, and show that this is an exciting time for the machine learning community to engage in the problems in natural language understanding. |
| 关 键 词: | 自然语言; 人工智能; 解决挑战; 神经网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-06：chenxin01 |
| 最后编审: | 2023-05-17：chenxin01 |
| 阅读次数: | 28 |