Paper: Robust PCFG-Based Generation Using Automatically Acquired LFG Approximations

ACL ID P06-1130
Title Robust PCFG-Based Generation Using Automatically Acquired LFG Approximations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors
  • Aoife Cahill (Dublin City University, Dublin Ireland)
  • Josef van Genabith (Dublin City University, Dublin Ireland; IBM Dublin Center for Advanced Studies, Dublin Ireland)

We present a novel PCFG-based archi- tecture for robust probabilistic generation based on wide-coverage LFG approxima- tions (Cahill et al. , 2004) automatically extracted from treebanks, maximising the probability of a tree given an f-structure. We evaluate our approach using string- based evaluation. We currently achieve coverage of 95.26%, a BLEU score of 0.7227 and string accuracy of 0.7476 on the Penn-II WSJ Section 23 sentences of length ≤20.