FCE - Grammatical error detection

Detect errors in English text.

This is a Gonito.net challenge based on data from https://ilexir.co.uk/datasets/index.html The aim of the challenge is to predict which tokens are incorrect.

MultiLabel-F0.5 is used as the evaluation metric.

Dataset reference:

1. Compositional Sequence Labeling Models for Error Detection in Learner Writing Marek Rei and Helen Yannakoudakis In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016)

2. A New Dataset and Method for Automatically Grading ESOL Texts Helen Yannakoudakis, Ted Briscoe and Ben Medlock In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011)

Directory structure

• README.md — this file
• config.txt — configuration file
• train/ — directory with training data
• train/in.tsv — Original input text for the train set
• train/expected.tsv — Incorrect token indexes. Indexes start from 1.
• dev-0/ — directory with dev data
• dev-0/in.tsv — Original input text for the dev set
• dev-0/expected.tsv — Incorrect token indexes. Indexes start from 1.
• test-A — directory with test data
• test-A/in.tsv — Original input text for the test set