Paper: Jointly Identifying Predicates Arguments and Senses using Markov Logic

ACL ID N09-1018
Title Jointly Identifying Predicates Arguments and Senses using Markov Logic
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors
  • Ivan Meza-Ruiz (University of Edinburgh, Edinburgh UK)
  • Sebastian Riedel (University of Tokyo, Tokyo Japan; Research Organization of Information and System, Japan)

In this paper we present a Markov Logic Net- work for Semantic Role Labelling that jointly performs predicate identification, frame dis- ambiguation, argument identification and ar- gument classification for all predicates in a sentence. Empirically we find that our ap- proach is competitive: our best model would appear on par with the best entry in the CoNLL 2008 shared task open track, and at the 4th place of the closed track—right be- hind the systems that use significantly better parsers to generate their input features. More- over, we observe that by fully capturing the complete SRL pipeline in a single probabilis- tic model we can achieve significant improve- ments over more isolated systems, in particu- lar for out-of-domain data. Finally, we show that despite the joint approach, ...