Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items

31 August 2018

Papers citing "Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items"

5 / 5 papers shown

Title
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 295 888 0 03 May 2018
Colorless green recurrent networks dream hierarchically Kristina Gulordava Piotr Bojanowski Edouard Grave Tal Linzen Marco Baroni 69 504 0 29 Mar 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure Ke M. Tran Arianna Bisazza Christof Monz 61 150 0 09 Mar 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure Dieuwke Hupkes Sara Veldhoen Willem H. Zuidema 67 276 0 28 Nov 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 93 901 0 04 Nov 2016