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Logic Programming Infrastructure for Inferences on FrameNet

  • Peter Baumgartner
  • Aljoscha Burchardt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3229)

Abstract

The growing size of electronically available text corpora like companies’ intranets or the WWW has made information access a hot topic within Computational Linguistics. Despite the success of statistical or keyword based methods, deeper Knowledge Representation (KR) techniques along with “inference” are often mentioned as mandatory, e.g. within the Semantic Web context, to enable e.g. better query answering based on “semantical” information. In this paper we try to contribute to the open question how to operationalize semantic information on a larger scale. As a basis we take the frame structures of the Berkeley FrameNet II project, which is a structured dictionary to explain the meaning of words from a lexicographic perspective. Our main contribution is a transformation of the FrameNet II frames into the answer set programming paradigm of logic programming.

Because a number of different reasoning tasks are subsumed under “inference” in the context of natural language processing, we emphasize the flexibility of our transformation. Together with methods for automatic annotation of text documents with frame semantics which are currently developed at various sites, we arrive at an infrastructure that supports experimentation with semantic information access as is currently demanded for.

Keywords

Logic Program Natural Language Processing Logic Programming Description Logic Frame Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Peter Baumgartner
    • 1
  • Aljoscha Burchardt
    • 2
  1. 1.MPI Saarbrücken 
  2. 2.Saarland University 

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