Standard
Sluice resolution without hand-crafted features over brittle syntax trees. / Rønning, Ola; Hardt, Daniel; Søgaard, Anders.
Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Vol. 1 Association for Computational Linguistics, 2018. p. 236–241.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Rønning, O, Hardt, D & Søgaard, A 2018, Sluice resolution without hand-crafted features over brittle syntax trees. in Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). vol. 1, Association for Computational Linguistics, pp. 236–241, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, United States, 01/06/2018.
APA
Rønning, O., Hardt, D., & Søgaard, A. (2018). Sluice resolution without hand-crafted features over brittle syntax trees. In Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers) (Vol. 1, pp. 236–241). Association for Computational Linguistics.
Vancouver
Rønning O, Hardt D, Søgaard A. Sluice resolution without hand-crafted features over brittle syntax trees. In Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Vol. 1. Association for Computational Linguistics. 2018. p. 236–241
Author
Rønning, Ola ; Hardt, Daniel ; Søgaard, Anders. / Sluice resolution without hand-crafted features over brittle syntax trees. Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Vol. 1 Association for Computational Linguistics, 2018. pp. 236–241
Bibtex
@inproceedings{25dbc9eeb9604fd69bc6299f0b054591,
title = "Sluice resolution without hand-crafted features over brittle syntax trees",
abstract = "Sluice resolution in English is the problemof finding antecedents of wh-fronted ellipses.Previous work has relied on handcraftedfeatures over syntax trees that scalepoorly to other languages and domains;in particular, to dialogue, which is one ofthe most interesting applications of sluiceresolution. Syntactic information is arguablyimportant for sluice resolution, butwe show that multi-task learning with partialparsing as auxiliary tasks effectivelycloses the gap and buys us an additional9% error reduction over previous work.Since we are not directly relying on featuresfrom partial parsers, our system ismore robust to domain shifts, giving a26% error reduction on embedded sluicesin dialogue.",
author = "Ola R{\o}nning and Daniel Hardt and Anders S{\o}gaard",
year = "2018",
language = "English",
volume = "1",
pages = "236–241",
booktitle = "Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
publisher = "Association for Computational Linguistics",
note = "16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2018 ; Conference date: 01-06-2018 Through 06-06-2018",
}
RIS
TY - GEN
T1 - Sluice resolution without hand-crafted features over brittle syntax trees
AU - Rønning, Ola
AU - Hardt, Daniel
AU - Søgaard, Anders
PY - 2018
Y1 - 2018
N2 - Sluice resolution in English is the problemof finding antecedents of wh-fronted ellipses.Previous work has relied on handcraftedfeatures over syntax trees that scalepoorly to other languages and domains;in particular, to dialogue, which is one ofthe most interesting applications of sluiceresolution. Syntactic information is arguablyimportant for sluice resolution, butwe show that multi-task learning with partialparsing as auxiliary tasks effectivelycloses the gap and buys us an additional9% error reduction over previous work.Since we are not directly relying on featuresfrom partial parsers, our system ismore robust to domain shifts, giving a26% error reduction on embedded sluicesin dialogue.
AB - Sluice resolution in English is the problemof finding antecedents of wh-fronted ellipses.Previous work has relied on handcraftedfeatures over syntax trees that scalepoorly to other languages and domains;in particular, to dialogue, which is one ofthe most interesting applications of sluiceresolution. Syntactic information is arguablyimportant for sluice resolution, butwe show that multi-task learning with partialparsing as auxiliary tasks effectivelycloses the gap and buys us an additional9% error reduction over previous work.Since we are not directly relying on featuresfrom partial parsers, our system ismore robust to domain shifts, giving a26% error reduction on embedded sluicesin dialogue.
M3 - Article in proceedings
VL - 1
SP - 236
EP - 241
BT - Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
PB - Association for Computational Linguistics
T2 - 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Y2 - 1 June 2018 through 6 June 2018
ER -
