Linguistic representations in multi-task neural networks for ellipsis resolution
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Linguistic representations in multi-task neural networks for ellipsis resolution. / Rønning, Ola ; Hardt, Daniel ; Søgaard, Anders.
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, 2018. p. 66–73.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Linguistic representations in multi-task neural networks for ellipsis resolution
AU - Rønning, Ola
AU - Hardt, Daniel
AU - Søgaard, Anders
PY - 2018
Y1 - 2018
N2 - Sluicing resolution is the task of identifyingthe antecedent to a question ellipsis. Antecedentsare often sentential constituents, andprevious work has therefore relied on syntacticparsing, together with complex linguisticfeatures. A recent model instead used partialparsing as an auxiliary task in sequential neuralnetwork architectures to inject syntactic information.We explore the linguistic informationbeing brought to bear by such networks,both by defining subsets of the data exhibitingrelevant linguistic characteristics, and byexamining the internal representations of thenetwork. Both perspectives provide evidencefor substantial linguistic knowledge being deployedby the neural networks.
AB - Sluicing resolution is the task of identifyingthe antecedent to a question ellipsis. Antecedentsare often sentential constituents, andprevious work has therefore relied on syntacticparsing, together with complex linguisticfeatures. A recent model instead used partialparsing as an auxiliary task in sequential neuralnetwork architectures to inject syntactic information.We explore the linguistic informationbeing brought to bear by such networks,both by defining subsets of the data exhibitingrelevant linguistic characteristics, and byexamining the internal representations of thenetwork. Both perspectives provide evidencefor substantial linguistic knowledge being deployedby the neural networks.
M3 - Article in proceedings
SP - 66
EP - 73
BT - Proceedings of the 2018 EMNLP Workshop BlackboxNLP
PB - Association for Computational Linguistics
Y2 - 1 November 2018 through 1 November 2018
ER -
ID: 214759805