Linguistic representations in multi-task neural networks for ellipsis resolution

Ola Rønning, Daniel Hardt, Anders Søgaard
2018 Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP  
Sluicing resolution is the task of identifying the antecedent to a question ellipsis. Antecedents are often sentential constituents, and previous work has therefore relied on syntactic parsing, together with complex linguistic features. A recent model instead used partial parsing as an auxiliary task in sequential neural network architectures to inject syntactic information. We explore the linguistic information being brought to bear by such networks, both by defining subsets of the data
more » ... ing relevant linguistic characteristics, and by examining the internal representations of the network. Both perspectives provide evidence for substantial linguistic knowledge being deployed by the neural networks.
doi:10.18653/v1/w18-5409 dblp:conf/emnlp/RonningHS18 fatcat:nijnqb6nufa5tetzu7rzfowrwq