OntoNotes: A Unified Relational Semantic Representation

  • Authors:
  • Sameer S. Pradhan;Eduard Hovy;Mitch Marcus;Martha Palmer;Lance Ramshaw;Ralph Weischedel

  • Affiliations:
  • BBN Technologies, USA;ISI/USC, USA;University of Pennsylvania, USA;University of Colorado, USA;BBN Technologies, USA;BBN Technologies, USA

  • Venue:
  • ICSC '07 Proceedings of the International Conference on Semantic Computing
  • Year:
  • 2007

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Abstract

The OntoNotes project is creating a corpus of large-scale, accurate, and integrated annotation of multiple levels of the shallow semantic structure in text. Such rich, integrated annotation covering many levels will allow for richer, cross-level models enabling significantly better automatic semantic analysis. At the same time, it demands a robust, efficient, scalable mechanism for storing and accessing these complex inter-dependent annotations. We describe a relational database representation that captures both the inter- and intra-layer dependencies and provide details of an object-oriented API for efficient, multi-tiered access to this data.