Collective semantic role labelling with Markov logic
Published 1 January 2008Open access
Sebastian Riedel, Iván Meza
Citations56
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TL;DR
This paper presents the system for the Open Track of the CoNLL 2008 Shared Task in Joint Dependency Parsing and Semantic Role Labelling using Markov Logic to define a joint SRL model and achieves a semantic F-score of 74.59%, the second best in the Open track.
Abstract
This paper presents our system for the Open Track of the CoNLL 2008 Shared Task (Surdeanu et al., 2008) in Joint Dependency Parsing and Semantic Role Labelling. We use Markov Logic to define a joint SRL model and achieve a semantic F-score of 74.59%, the second best in the Open Track.
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
Machine LearningMarkov logic networks
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