x-like——跨语言知识提取x-like – Cross-lingual knowledge extraction |
|
课程网址: | http://videolectures.net/ocwc2014_grobelnik_x_like/ |
主讲教师: | Marko Grobelnik |
开课单位: | 约瑟夫·斯特凡研究所 |
开课时间: | 2014-06-23 |
课程语种: | 英语 |
中文简介: | XLike项目的目标是开发技术,以监控和汇总当前在主流媒体和社交媒体上传播的知识,并为出版商、媒体监控和商业智能提供跨语言服务。其目的是结合多个科学领域的科学见解,为跨语言文本理解领域做出贡献。通过结合现代计算语言学、机器学习、文本挖掘和语义技术,我们计划解决以下两个关键的开放研究问题: 利用跨语言知识库从多语言文本中提取并整合正式知识,并采用语言技术和众包来处理主要用于社交媒体的非正式语言中的不规则现象。开发的技术将是语言不可知的,而在该项目中,我们将专门将英语、德语、西班牙语、汉语和印地语作为主要世界语言,加泰罗尼亚语和斯洛文尼亚语作为少数民族语言。 |
课程简介: | The goal of the XLike project is to develop technology to monitor and aggregate knowledge that is currently spread across mainstream and social media, and to enable cross-lingual services for publishers, media monitoring and business intelligence. The aim is to combine scientific insights from several scientific areas to contribute in the area of cross-lingual text understanding. By combining modern computational linguistics, machine learning, text mining and semantic technologies we plan to deal with the following two key open research problems: to extract and integrate formal knowledge from multilingual texts with cross-lingual knowledge bases, and to adapt linguistic techniques and crowdsourcing to deal with irregularities in informal language used primarily in social media. The developed technology will be language-agnostic, while within the project we will specifically address English, German, Spanish, Chinese and Hindi as major world languages and Catalan and Slovenian as minority languages. |
关 键 词: | XLike项目; 跨语言服务; 开发技术 |
课程来源: | 视频讲座网 |
数据采集: | 2022-02-12:zkj |
最后编审: | 2022-02-12:zkj |
阅读次数: | 76 |