DCU-Paris13 Systems for the SANCL 2012 Shared Task

Joseph Le Roux (1) , Jennifer Foster (2) , Joachim Wagner (2) , Rasul Samad Zadeh Kaljahi (2) , Anton Bryl (2)

1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 NCLT - National Centre for Language Technology

The DCU-Paris13 team submitted three systems to the SANCL 2012 shared task on parsing English web text. The first submission, the highest ranked constituency parsing system, uses a combination of PCFG-LA product grammar parsing and self-training. In the second submission, also a constituency parsing system, the n-best lists of various parsing models are combined using an approximate sentence-level product model. The third system, the highest ranked system in the dependency parsing track, uses voting over dependency arcs to combine the output of three constituency parsing systems which have been converted to dependency trees. All systems make use of a data-normalisation component, a parser accuracy predictor and a genre classifier.

Mots clés: natural language processing; parsing; user-generated content

Domaines: Informatique et langage [cs.CL]

Joseph Le Roux, Jennifer Foster, Joachim Wagner, Rasul Samad Zadeh Kaljahi, Anton Bryl. DCU-Paris13 Systems for the SANCL 2012 Shared Task. NAACL 2012, Jun 2012, Montréal, Canada. pp.1-4. ⟨hal-00728188⟩