Unsupervised Discovery of Scenario-Level Patterns for Information Extraction

  title={Unsupervised Discovery of Scenario-Level Patterns for Information Extraction},
  author={Roman Yangarber and Ralph Grishman and Pasi Tapanainen},
Information Extraction (IE) systems are commonly based on pat tern matching. Adapting an IE system to a new scenario entails the construction of a new pat tern base---a timeconsuming and expensive process. We have implemented a system for finding patterns automatically from un-annotated text. Starting with a small initial set of seed patterns proposed by the user, the system applies an incremental discovery procedure to identify new patterns. We present experiments with evaluations which show… CONTINUE READING
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