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Grammatical Error Detection

Grammatical Error Detection (GED) is the task of detecting different kinds of errors in text such as spelling, punctuation, grammatical, and word choice errors. Grammatical error detection (GED) is one of the key component in grammatical error correction (GEC) community.

Papers

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Showing 61–70 of 100 papers

TitleStatusHype
Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner Language—0
Syntax-guided Contrastive Learning for Pre-trained Language Model—0
The AIP-Tohoku System at the BEA-2019 Shared Task—0
The Construction of a Chinese Collocational Knowledge Resource and Its Application for Second Language Acquisition—0
The NTNU-YZU System in the AESW Shared Task: Automated Evaluation of Scientific Writing Using a Convolutional Neural Network—0
UM-Checker: A Hybrid System for English Grammatical Error Correction—0
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection—0
Word Order Sensitive Embedding Features/Conditional Random Field-based Chinese Grammatical Error Detection—0
WriteAhead2: Mining Lexical Grammar Patterns for Assisted Writing—0
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization—0
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