图 书 馆
会话代理领域扩展的深度学习Deep Learning for Domain Scaling of Conversational Agents |
|
| 课程网址: | http://videolectures.net/interACT2016_wang_deep_learning/ |
| 主讲教师: | Ye-Yi Wang |
| 开课单位: | 微软研究院 |
| 开课时间: | 2013-07-31 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Intelligent Agents/chat-bots have become a hot topic in industry. Amazon, Apple, Google, Facebook and Microsoft have all invested heavily in the area. Many start-ups work on different perspective of the space as well, ranging from language understanding techniques to solutions for specific tasks (e.g., appointment scheduling). However, it is still very costly to introduce a new experience to an agent/bot. A major issue here is that language understanding and conversation management modeling are often performed in a domain-specific fashion – either with data-driven statistical modeling or with semantic grammar authoring – the former requires a large amount of labeled training data; the latter needs the combined expertise in linguistics and domain knowledge. In this talk, we formulate the domain scaling as a training data demand-supply problem, and introduce some preliminary investigations and experiment results on this problem. |
| 关 键 词: | 智能代理; 语言理解技术; 会话管理建模 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-11-28：zkj |
| 最后编审: | 2021-11-28：zkj |
| 阅读次数: | 41 |