Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees
Ola R{\o}nning, Daniel Hardt, Anders S{\o}gaard
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
Sluice resolution in English is the problem of finding antecedents of wh-fronted ellipses. Previous work has relied on hand-crafted features over syntax trees that scale poorly to other languages and domains; in particular, to dialogue, which is one of the most interesting applications of sluice resolution. Syntactic information is arguably important for sluice resolution, but we show that multi-task learning with partial parsing as auxiliary tasks effectively closes the gap and buys us an additional 9\% error reduction over previous work. Since we are not directly relying on features from partial parsers, our system is more robust to domain shifts, giving a 26\% error reduction on embedded sluices in dialogue.