BEA 2019
Related Papers
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
AbstractExisting approaches for grammatical error correction (GEC) largely rely on supervised learning with manually created GEC datasets. However, there has been little focus on verifying and ensuring the quality of …...
ELERRANT: Automatic Grammatical Error Type Classification for Greek
AbstractIn this paper, we introduce the Greek version of the automatic annotation tool ERRANT (Bryant et al., 2017), which we named ELERRANT. ERRANT functions as a rule-based error type classifier …...
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
AbstractGrammatical error correction (GEC) requires a set of labeled ungrammatical / grammatical sentence pairs for training, but obtaining such annotation can be prohibitively expensive. Recently, the Break-It-Fix-It (BIFI) framework has …...
Frustratingly Easy System Combination for Grammatical Error Correction
AbstractIn this paper, we formulate system combination for grammatical error correction (GEC) as a simple machine learning task: binary classification. We demonstrate that with the right problem formulation, a simple …...