Texts

CoLA

Corpus of Linguistic Acceptability

Introduced in Neural Network Acceptability Judgments2017

About this Dataset

The Corpus of Linguistic Acceptability (CoLA) consists of 10657 sentences from 23 linguistics publications, expertly annotated for acceptability (grammaticality) by their original authors. The public version contains 9594 sentences belonging to training and development sets, and excludes 1063 sentences belonging to a held out test set.

Source: https://nyu-mll.github.io/CoLA/ Image Source: https://arxiv.org/pdf/1805.12471.pdf

Source: Neural Network Acceptability Judgments

Dataset Variants

CoLACoLA Dev

Papers1

Neural Network Acceptability Judgments

This paper introduces the Corpus of Linguistic Acceptability (CoLA), a set of 10,657 English sentences labeled as grammatical or ungrammatical from published linguistics literature, and trains several recurrent neural network models on acceptability classification, and finds that the authors' models outperform unsupervised models by Lau et al. (2016) on CoLA.

Tasks

EDIT

Text Generation Stochastic Optimization Linguistic Acceptability

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Statistics

Papers

1

Tasks

8

Introduced

2017

License

Custom

Modalities

Texts

Languages

Spanish