FrameNet Workshop: Developing New NLP Applications

FrameNet 研讨会：开发新的 NLP 应用程序

• 批准号: 1346605
• 负责人: Collin Baker
• 金额: $ 3万
• 依托单位: International Computer Science Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1346605&HistoricalAwards=false
• 关键词: FrameNet; Workshop; Developing; New; NLP

In recent years, computer systems designed to understand ordinary language have improved rapidly. These advances depend in part on improving the language resources that help systems recognize different senses of individual words and how the parts of a sentence fit together. People understand words largely by relating them to common situations; in 'She tossed the letter across the table to Jerry', one recognizes that the main idea comes from 'toss', and understands the different roles that 'she', 'the letter', 'across the table', and 'to Jerry' play. For the past fifteen years, the FrameNet team at the International Computer Science Institute has been defining situations, called semantic frames, and labeling examples with semantic roles on the constituents of illustrative sentences. The FrameNet knowledge database contains over 1,100 semantic frames, ranging from getting a job to curing a disease, and almost 200,000 labeled sentences. Other researchers have created software to automatically label sentences in open text based on FrameNet data; these automatic semantic role labeling (ASRL) systems facilitate the automatic recognition of events and their participants in documents ranging from news stories and military reports.This award funds a one-week workshop, September 9-13, 2013, introducing FrameNet to a wider range of industry and academic participants. Speakers include the FrameNet team as well as developers and users of ASRL systems. Topics covered range from implications of FrameNet for protecting privacy to using frames in understanding metaphor. Software developers have a hands-on coding session using the new FrameNet library for NLTK; other participants perform hands-on frame definition and annotation.

近年来，用于理解普通语言的计算机系统得到了迅速改进。这些进步部分依赖于语言资源的改进，这些资源可以帮助系统识别单个单词的不同含义，以及如何将句子的各个部分组合在一起。人们在很大程度上通过将单词与常见情况联系起来来理解单词；在“她把信扔到桌子对面给杰瑞”中，人们认识到主要的意思来自于“扔”，并理解“她”、“信”、“桌子对面”和“给杰瑞”所扮演的不同角色。在过去的15年里，国际计算机科学研究所的框架团队一直在定义情景，称为语义框架，并在说述性句子的组成部分上标记具有语义角色的示例。FrameNet知识数据库包含1100多个语义框架，范围从找工作到治愈疾病，以及近20万个标记句子。其他研究人员已经创建了软件，可以根据FrameNet数据自动标记开放文本中的句子；这些自动语义角色标记（ASRL）系统促进了从新闻故事到军事报告等文件中事件及其参与者的自动识别。该奖项将于2013年9月9日至13日资助为期一周的研讨会，向更广泛的行业和学术参与者介绍FrameNet。演讲者包括FrameNet团队以及ASRL系统的开发人员和用户。涵盖的主题范围从框架对保护隐私的影响到在理解隐喻时使用框架。软件开发人员有一个动手编码会话使用新的框架库NLTK；其他参与者亲自执行框架定义和注释。