Sluice Resolution without Hand-crafted Features over Brittle Syntax Trees

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Sluice Resolution without Hand-crafted Features over Brittle Syntax Trees

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Title: Sluice Resolution without Hand-crafted Features over Brittle Syntax Trees
Author: Rønning, Ola; Hardt, Daniel; Søgaard, Anders
Abstract: Sluice resolution in English is the problem of finding antecedents of wh-fronted ellipses. Previous work has relied on handcrafted 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.
URI: http://hdl.handle.net/10398/9642
Date: 2018-07-02

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