Prepositions are an important vehicle for indicating semantic roles. Their meanings are difficult to analyze and they are often discarded in processing text. The Preposition Project is designed to provide a comprehensive database of preposition senses suitable for use in natural language processing applications. In the project, prepositions in the FrameNet corpus are disambiguated using a sense inventory from a current dictionary, guided by a comprehensive treatment of preposition meaning. The methodology provides a framework for identifying and characterizing semantic roles, a gold standard corpus of instances for further analysis, and an account of semantic role alternation patterns. By adhering to this methodology, it is hoped that a comprehensive and improved characterization of preposition behavior (semantic role identification, and syntactic and semantic properties of the preposition complement and attachment point) will be developed. The databases generated in the project are publicly available for further use by researchers and application developers.
翻译:预设物是表明语义作用的重要工具,其含义难以分析,在处理文本中往往被抛弃。预设物项目旨在提供一个适合于自然语言处理应用程序的预设物感的全面数据库。在该项目中,FramNetPamp的预设物使用与当前字典的感知清册进行脱钩,并全面处理预设物含义。该方法为识别和定性语义作用提供了一个框架,为进一步分析提供了金色标准实例,并说明了语义作用的改变模式。通过遵循这一方法,人们希望能够开发出一种全面的、改进的预设物行为特征(识别预设物作用,以及预设物补充和附加点的合成和语义特性),项目产生的数据库可供研究人员和应用开发者进一步使用。