NCSU: Modeling temporal relations with Markov logic and lexical ontology

  • Authors:
  • Eun Young Ha;Alok Baikadi;Carlyle Licata;James C. Lester

  • Affiliations:
  • North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC

  • Venue:
  • SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
  • Year:
  • 2010

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Abstract

As a participant in TempEval-2, we address the temporal relations task consisting of four related subtasks. We take a supervised machine-learning technique using Markov Logic in combination with rich lexical relations beyond basic and syntactic features. One of our two submitted systems achieved the highest score for the Task F (66% precision), untied, and the second highest score (63% precision) for the Task C, which tied with three other systems.