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为NLP增加价值:一点语义会大有帮助

Adding value to NLP: a little semantics goes a long way
课程网址: http://videolectures.net/eswc2019_maynard_value_nlp/  
主讲教师: Diana Maynard
开课单位: 谢菲尔德大学计算机科学系
开课时间: 2019-09-19
课程语种: 英语
中文简介:
自然语言处理技术现在无处不在,即使在其发展中仍面临许多挑战。从情感分析到机器翻译再到聊天机器人;从医疗系统到网上购物再到假新闻;即使不明显,NLP工具现在也隐藏在大量真实世界系统和应用程序的深处。在过去的20年里,技术在许多方面都取得了进步,这主要归功于机器学习和深度学习技术的发展,以及伴随而来的语言资源的创造和关注。在这次演讲中,我将探讨语义在NLP应用程序中的作用。也许令人惊讶的是,尽管语义Web技术和NLP最近取得了进步,但从新闻到火箭科学等领域的研究人员和从业者还没有抓住他们的潜力,仍在手动处理野生电子表格和数据库。我将利用我们最近的一些项目和应用中的例子,讨论即使是少量语义注入的NLP如何在危机传播、政治、新闻、医学、文学和历史等领域成为一个巨大的游戏规则改变者。
课程简介: Natural language processing technology is now ubiquitous, even if there are still many challenges to be faced in its development. From sentiment analysis to machine translation to chatbots; from medical systems to online shopping to fake news; even if not visibly apparent, NLP tools are now lurking hidden in the depths of an enormous number and range of real-world systems and applications. Techniques have advanced in many directions in the last 20 years thanks primarily to developments in machine learning and deep learning technologies, and to the concomitant creation of and attention to language resources. In this talk, I shall examine the role of semantics in NLP applications. It is perhaps surprising that despite recent advances in Semantic Web technology and NLP, researchers and practitioners in domains ranging from journalism to rocket science have yet to grasp their potential, and are still manually grappling feral spreadsheets and databases. I shall discuss how NLP infused with even small amounts of semantics can be a drastic game-changer in fields as diverse as crisis communication, politics, journalism, medicine, literature, and history, using examples from some of our recent projects and applications.
关 键 词: NLP增加价值; 语义Web技术; NLP应用程序; 自然语言处理技术
课程来源: 视频讲座网
数据采集: 2022-09-20:cyh
最后编审: 2022-09-21:cyh
阅读次数: 17