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20112021
most citedLinguistic Features for Readability Assessment

66 citations · 174 across the 8 of their papers we have counts for

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15 papers · 1 filter

cs.CL2026

string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms

Mirac Suzgun, James Zou, Stuart M. Shieber +1

We present string2string Studio, an interactive in-browser platform for string-to-string analysis across natural language processing, computational biology, and the digital humanit…

cs.CL20211 cited

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann +3

Targeted syntactic evaluations have demonstrated the ability of language models to perform subject-verb agreement given difficult contexts. To elucidate the mechanisms by which the…

cs.CL20207 cited

Probing Neural Dialog Models for Conversational Understanding

Abdelrhman Saleh, Tovly Deutsch, Stephen Casper +2

The predominant approach to open-domain dialog generation relies on end-to-end training of neural models on chat datasets. However, this approach provides little insight as to what…

cs.CL202066 cited

Linguistic Features for Readability Assessment

Tovly Deutsch, Masoud Jasbi, Stuart Shieber

Readability assessment aims to automatically classify text by the level appropriate for learning readers. Traditional approaches to this task utilize a variety of linguistically mo…

cs.CL2020

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov +6

Common methods for interpreting neural models in natural language processing typically examine either their structure or their behavior, but not both. We propose a methodology grou…

cs.CL201930 cited

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov +1

We introduce three memory-augmented Recurrent Neural Networks (MARNNs) and explore their capabilities on a series of simple language modeling tasks whose solutions require stack-ba…