UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields
Mohammad Javad Hosseini, Noah A. Smith, Su‐In Lee · 2016
We describe our entry to SemEval 2016 Task 10: Detecting Minimal Semantic Units and their Meanings.Our approach uses a discriminative first-order sequence model similar to Schneider and Smith (2015).The chief novelty in our approach is a factorization of the labels into multiword expression and supersense labels, and restricting first-order dependencies within these two parts.Our submitted models achieved first place in the closed competition (CRF) and second place in the open competition (2-CRF).