Ted Briscoe

Constrained Multi-Task Learning for Automated Essay Scoring

2016

Supervised machine learning models for automated essay scoring (AES) usually require substantial task-specific training data in order to make accurate predictions for a particular writing task. This limitation hinders their utility, and consequently their deployment …

Developing an automated writing placement system for ESL learners

2018 · Applied Measurement in Education

There are quite a few challenges in the development of an automated writing placement model for non-native English learners, among them the fact that exams that encompass the full range of language proficiency exhibited at …

Grammatical error correction using neural machine translation

2016

This paper presents the first study using neural machine translation (NMT) for grammatical error correction (GEC). We propose a twostep approach to handle the rare word problem in NMT, which has been proved to be …

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

2017

Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated. To overcome this problem, we introduce ERRANT, a grammatical ERRor …

The BEA-2019 Shared Task on Grammatical Error Correction

2019

This paper reports on the BEA-2019 Shared Task on Grammatical Error Correction (GEC). As with the CoNLL-2014 shared task, participants are required to correct all types of errors in test data. One of the main …