CI-P: Planning for a Multilingual FrameNet Lexical Resource

CI-P：规划多语言 FrameNet 词汇资源

• 批准号: 1406048
• 负责人: Collin Baker
• 金额: $ 9.98万
• 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: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1406048&HistoricalAwards=false
• 关键词: CI; Planning; Multilingual; FrameNet; Lexical

The FrameNet Project (http://framenet.icsi.berkeley.edu) at the International Computer Science Institute in Berkeley, California, has been building a unique dictionary of everyday English words, which connects words with semantic frames, each representing a type of event or relation and the roles of people or objects that participate in it. For example, the Kinship frame includes the words 'nephew', 'mother-in-law', 'sibling', etc. and the Leadership frame includes both nouns like 'corporal', 'bishop', 'CEO', and 'headmaster' and verbs like 'lead', 'preside', and 'rule'. Since 1997, the FrameNet project has developed more than 1,100 such frames covering more than 12,700 word senses, and manually annotated almost 200,000 examples showing how these semantic roles fit into the grammar of the sentences. The database is freely available and is being downloaded daily for use around the world, in NLP applications like question answering and reasoning about the causes and effects of events. Projects elsewhere are building FrameNet-style databases for many other languages, including Spanish, German, Japanese, Chinese, French, Brazilian Portuguese, Arabic, etc. These other projects have largely followed the English FrameNet example, using the same semantic frames and roles. Their conclusion has been that roughly 80% of the lexical units in the target languages fit nicely into semantic frames that were originally defined for English. But there has been no broad, systematic effort to align all these databases to produce a freely available unified multilingual frame semantic resource. This award is used to plan such an effort, to lay the groundwork for connecting all these FrameNets into one multilingual database, which will permit many new NLP applications, such as frame-based machine translation and recognizing when news accounts in two different languages are discussing the same event.During this planning project, the investigators are planning how to go about aligning the separate FrameNets, based in part on the frame names (other FrameNets either use the English frame names or translations of them) and in part on quantitative measures of the similarity of frames, lexical units, and semantic roles. The quantitative measures will exploit the networks created by frame-to-frame relations in each language, comparing not only individual frames, but also their neighbors in the network, their corresponding semantic roles, and the similarity of the fillers of corresponding roles across languages. In this way, correspondences will be established between the quite different syntactic constructions (valence patterns) in which these roles are realized across languages, similar to the methodology used in creating FrameNets in other languages by projection. The plan includes both face-to-face and virtual meetings to define community requirements and priorities and to gather researchers and developers' suggestions on alignment methods, application interfaces, etc. As a result of this project, the investigators plan to prepare a comprehensive proposal to the CISE Research Infrastructure Program to actually create the multilingual database, guided by continuing consultation both with the teams developing the various FrameNets and with those who are already using FrameNet in research and practical applications.

加利福尼亚州伯克利国际计算机科学研究所的 FrameNet 项目 (http://framenet.icsi.berkeley.edu) 一直在构建一个独特的日常英语单词词典，它将单词与语义框架连接起来，每个语义框架代表一种事件或关系以及参与其中的人或物体的角色。例如，亲属关系框架包括“侄子”、“岳母”、“兄弟姐妹”等词语，领导力框架包括“下士”、“主教”、“首席执行官”和“校长”等名词以及“领导”、“主持”和“统治”等动词。自 1997 年以来，FrameNet 项目已开发了 1,​​100 多个此类框架，涵盖了 12,700 多个词义，并手动注释了近 200,000 个示例，显示这些语义角色如何融入句子的语法。该数据库免费提供，每天都会被下载，供世界各地的自然语言处理应用程序使用，例如问答和事件因果推理。 其他地方的项目正在为许多其他语言构建 FrameNet 风格的数据库，包括西班牙语、德语、日语、中文、法语、巴西葡萄牙语、阿拉伯语等。这些其他项目很大程度上遵循英语 FrameNet 的示例，使用相同的语义框架和角色。 他们的结论是，目标语言中大约 80% 的词汇单元非常适合最初为英语定义的语义框架。 但还没有进行广泛、系统的努力来协调所有这些数据库以产生可免费使用的统一多语言框架语义资源。该奖项用于计划这样一项工作，为将所有这些 FrameNet 连接到一个多语言数据库奠定基础，这将允许许多新的 NLP 应用程序，例如基于框架的机器翻译和识别两种不同语言的新闻报道何时讨论同一事件。在这个规划项目中，研究人员正在计划如何部分基于框架名称来对齐单独的 FrameNet（其他 FrameNet 要么使用英文框架名称，要么使用英语框架名称的翻译） 它们），部分是关于框架、词汇单元和语义角色的相似性的定量测量。 定量测量将利用每种语言中帧与帧关系创建的网络，不仅比较各个帧，还比较它们在网络中的邻居、它们相应的语义角色以及跨语言的相应角色填充物的相似性。通过这种方式，将在完全不同的句法结构（价模式）之间建立对应关系，其中这些角色是跨语言实现的，类似于通过投影在其他语言中创建框架网络所使用的方法。该计划包括面对面和虚拟会议，以确定社区需求和优先事项，并收集研究人员和开发人员关于对齐方法、应用程序接口等的建议。作为该项目的结果，研究人员计划向 CISE 研究基础设施计划准备一份全面的提案，以实际创建多语言数据库，并继续与开发各种 FrameNet 的团队以及已经在研究和开发中使用 FrameNet 的团队进行协商。 实际应用。