Paper: Priberam: A Turbo Semantic Parser with Second Order Features

ACL ID S14-2082
Title Priberam: A Turbo Semantic Parser with Second Order Features
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper presents our contribution to the SemEval-2014 shared task on Broad- Coverage Semantic Dependency Parsing. We employ a feature-rich linear model, in- cluding scores for first and second-order dependencies (arcs, siblings, grandparents and co-parents). Decoding is performed in a global manner by solving a linear relax- ation with alternating directions dual de- composition (AD 3 ). Our system achieved the top score in the open challenge, and the second highest score in the closed track.