图 书 馆
为自然语言处理准备多模态数据Preparing multi-modal data for natural language processing |
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| 课程网址: | http://videolectures.net/sikdd2018_novak_natural_language_process... |
| 主讲教师: | Erik Novak |
| 开课单位: | Jožef Stefan研究所人工智能实验室 |
| 开课时间: | 2018-10-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In education we can find millions of video, audio and text educational materials in different formats and languages. This variety and multimodality can impose difficulty on both students and teachers since it is hard to find the right materials that match their learning preferences. This paper presents an approach for retrieving and recommending items of different modalities. The main focus is on the retrieving and preprocessing pipeline, while the recommendation engine is based on the k-nearest neighbor method. We focus on educational materials, which can be text, audio or video, but the proposed procedure can be generalized on any type of multi-modal data. |
| 关 键 词: | 多样性和多模式; 学习偏好的正确材料; 任何类型的多模态数据 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-30：cyh |
| 最后编审: | 2023-05-15：cyh |
| 阅读次数: | 33 |