CI-NEW: Multilingual FrameNet: A Resource Enabling Cross-Lingual Research for the Natural Language Processing Community

CI-NEW：多语言 FrameNet：为自然语言处理社区提供跨语言研究的资源

• 批准号: 1629989
• 负责人: Collin Baker
• 金额: $ 60.76万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1629989&HistoricalAwards=false
• 关键词: CI; NEW; Multilingual; FrameNet; Resource

The FrameNet lexical semantic database records the meanings of words (and multi-word expressions) in everyday English; it is a sort of "super dictionary" that is both human-readable and machine-readable. This database is based on the fact that individual words can evoke and entire situation in our minds, complete with roles for people and things that participate in the situation. For example, the word hire evokes the situation of Employment, with roles for the Employer, the Employee, the Position, etc.; both the word vengeance and the expression get back at evoke Revenge, with the roles Avenger, Injured party, Injury, Offender, and Punishment. These situations are called semantic frames, and the project is guided by the theory of Frame Semantics, developed by the late Prof. Charles J. Fillmore of UC Berkeley. The FrameNet lexical database currently includes descriptions of more than 1,000 semantic frames, more than 13,000 senses of words and expressions (called Lexical units), and more than 200,000 manually annotated examples which show how the various roles are expressed by different parts of a sentence.The FrameNet database is widely used in natural language processing; it helps engineers create software to analyze written texts into semantic frames and participants, so that computers can reason about the situations described. Thousands of researchers and companies are already using such software for applications such as automatic analysis of reports from combat or natural disaster situations, understanding financial news reports, recognizing expressions of opinion on blogs and product websites, and searching clinical records and medical research reports. Although the frames were mainly created for English, most of them have been shown to be useful for other languages as well, and researchers around the world are now creating FrameNet databases for many other languages. The Multilingual FrameNet project will align the databases for different languages, both at the level of semantic frames and at the level of lexical units. The aligned database will help to improve applications such as foreign language teaching, cross-linguistic information retrieval, and machine translation. The new project also includes setting up a website and software so that teachers and students everywhere can participate in the project by adding to English FrameNet, creating a more complete and more useful FrameNet for its many users.

FrameNet词汇语义数据库记录了日常英语中单词（和多词表达）的含义；它是一种人类可读和机器可读的“超级词典”。 该数据库基于以下事实：单个单词可以在我们的脑海中唤起整个情境，并包含参与该情境的人和事物的角色。 例如，“雇用”一词会让人联想到“雇佣”的情况，其中包括雇主、雇员、职位等角色； 复仇这个词和表达方式都可以让人联想到复仇，具有复仇者、受伤方、伤害、罪犯和惩罚等角色。 这些情况被称为语义框架，该项目以框架语义学理论为指导，该理论由加州大学伯克利分校已故的 Charles J. Fillmore 教授开发。 FrameNet 词汇数据库目前包含超过 1,000 个语义框架的描述、超过 13,000 个单词和表达的含义（称为词汇单位）以及超过 200,000 个手动注释的示例，这些示例显示了句子的不同部分如何表达各种角色。 FrameNet数据库广泛应用于自然语言处理；它帮助工程师创建软件来将书面文本分析为语义框架和参与者，以便计算机能够推理所描述的情况。成千上万的研究人员和公司已经在使用此类软件进行应用，例如自动分析战斗或自然灾害情况的报告、理解财经新闻报道、识别博客和产品网站上的意见表达以及搜索临床记录和医学研究报告。尽管这些框架主要是为英语创建的，但大多数框架已被证明对其他语言也有用，世界各地的研究人员现在正在为许多其他语言创建 FrameNet 数据库。 多语言 FrameNet 项目将在语义框架级别和词汇单元级别上调整不同语言的数据库。 统一的数据库将有助于改进外语教学、跨语言信息检索和机器翻译等应用。 新项目还包括建立一个网站和软件，以便世界各地的教师和学生都可以通过添加到English FrameNet中来参与该项目，为众多用户创建一个更完整、更有用的FrameNet。