Abstract
We present a system for automatically annotating text with lexical semantic structures based on FrameNet, using a cascade of flat parsers with hand-crafted rules leading to a robust overall system.
This translation process is eventually to be employed in a Question Answering system to allow a more meaning-oriented search for answers: We want to explore the possibilities of a match of the FrameNet representations of the document base with that of the user’s query. This will allow a more directed matching than the often-used approach of first retrieving candidate documents or passages with techniques based on surface words and will bring together ideas from Information Extraction, Question Answering and Lexical Semantics. FrameNet allows us to combine words in the text by ‘semantic valency’, based on the idea of thematic roles as a central aspect of meaning. This description level supports generalisations, for example over different words of one word field.
First results of the FrameNet translation process are promising. A large scale evaluation is in preparation. After that, we will concentrate on the implementation of the Question Answering system. A number of implementation issues are discussed here.
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Fliedner, G. (2004). Deriving FrameNet Representations: Towards Meaning-Oriented Question Answering. In: Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2004. Lecture Notes in Computer Science, vol 3136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27779-8_6
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