IIS: Rapid Development of a Frame Semantic Lexicon

IIS：框架语义词典的快速开发

• 批准号: 0535297
• 负责人: Collin Baker
• 金额: --
• 依托单位: International Computer Science Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0535297&HistoricalAwards=false
• 关键词: IIS; Rapid; Development; Frame; Semantic

The FrameNet Project at the International Computer Science Instituteis building a uniquely detailed lexicon of English, both readable byhumans and usable by computers for natural language processing(NLP). It is based on the theory of Frame Semantics, originated byCharles Fillmore, which recognizes that the meanings of many words arebest understood in relation to semantic frames defining the setof participants and props in an event or state. For example, in"Alicia boiled the potatoes for 20 minutes", the word "boiled" evokes aframe involving Alicia as the Cook, the potatoes as the Food, and 20minutes as the Duration---but also some kind of Container (a pot?) andsome Heating instrument (a stove?)--these are not mentioned, but areessential parts of the frame. Frames range from very simple, likePlacing, to very complex, like Revenge.Since 1997, the FrameNet project has been describing semantic frames(currently 750, containing roughly 10,000 word senses), andannotating sentences which evoke them ( 135,000), showing which wordsplay which roles in the frame. Annotated sentences are thenautomatically tabulated to produce a lexical entry exemplifyingall possible syntactic patterns for each frame-evoking word. Thislexicon is used in hundreds of NLP research projects around the world;and similar projects are underway for other languages.This methodology is, however, very labor-intensive, requiring carefulexamination of sentences in the corpus to guarantee that all semanticand syntactic combinations are extracted and annotated. This award isfor a three-year effort to integrate sophisticated tools for groupingcorpus examples, (developed by Adam Kilgarriff), into the FrameNetextraction and annotation work, enabling staff to find syntacticpatterns faster and annotate examples semi-automatically, thus rapidlyincreasing the number of words covered and making the FrameNet lexiconuseful in more practical NLP applications. For further information,visit http://framenet.icsi.berkeley.edu.

国际计算机科学研究所的FrameNet项目正在建立一个独特的详细的英语词典，既可以被人类阅读，也可以被计算机用于自然语言处理（NLP）。它是基于框架语义学的理论，由查尔斯·菲尔莫尔（Charles Fillmore）创立，该理论认为，许多单词的含义最好与定义事件或状态中的参与者和道具的语义框架有关。 例如，在“Alicia boiled the potatoes for 20 minutes”中，“boiled”这个词让人联想到Alicia作为厨师，土豆作为食物，20分钟作为持续时间-但也是某种容器（锅？）还有一些加热器（炉子？）这些没有提及，但却是框架的重要组成部分。框架的范围从非常简单的如Placement到非常复杂的如Revenge。自1997年以来，FrameNet项目一直在描述语义框架（目前有750个，包含大约10，000个词义），并注释唤起它们的句子（135，000个），显示哪些词在框架中扮演哪些角色。 注释的句子然后被自动制表，以产生一个词汇条目，为每个框架唤起词提供所有可能的句法模式。该词典被用于世界各地的数百个NLP研究项目中;类似的项目正在进行中，用于其他语言。然而，这种方法非常劳动密集，需要对语料库中的句子进行仔细的解释，以确保所有语义和句法组合都被提取和注释。 该奖项是为了表彰三年来将用于语料库示例分组的复杂工具（由Adam Kilgarriff开发）集成到FrameNet提取和注释工作中的努力，使员工能够更快地找到语法模式并半自动地注释示例，从而快速增加覆盖的单词数量并使FrameNet词典在更实际的NLP应用中有用。欲了解更多信息，请访问http://framenet.icsi.berkeley.edu。