@inproceedings{ff06eda591ad4e569b9a0969ed41ed4f,
title = "RNN simulations of grammaticality judgments on long-distance dependencies",
abstract = "The paper explores the ability of LSTM networks trained on a language modeling task to detect linguistic structures which are ungrammatical due to extraction violations (extra arguments and subject-relative clause island violations), and considers its implications for the debate on language innatism. The results show that the current RNN model can correctly classify (un)grammatical sentences, in certain conditions, but it is sensitive to linguistic processing factors and probably ultimately unable to induce a more abstract notion of grammaticality, at least in the domain we tested.",
author = "Chowdhury, {Shammur Absar} and Roberto Zamparelli",
note = "Publisher Copyright: {\textcopyright} 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.; 27th International Conference on Computational Linguistics, COLING 2018 ; Conference date: 20-08-2018 Through 26-08-2018",
year = "2018",
language = "English",
series = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "133--144",
editor = "Bender, {Emily M.} and Leon Derczynski and Pierre Isabelle",
booktitle = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings",
address = "United States",
}