Grammatical Error Correction Using Feature Selection and Confidence Tuning
Code (0)
등록된 구현이 없습니다.
Tasks
feature selectionGrammatical Error CorrectionMeta-LearningSimilar Papers 제목 키워드 기반
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction
This paper introduces the DM{\_}NLP team{'}s system for NLPTEA 2018 shared task of Chinese Grammatical Error Diagnosis (CGED), which can be used to detect and correct grammatical errors in texts written by Chinese as a F…
Grammatical Error CorrectionTAGArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC
Grammatical Error Correction (GEC) is an important aspect of natural language processing. Arabic has a complicated morphological and syntactic structure, posing a greater challenge than other languages. Even though moder…
Grammatical Error CorrectionCombining ResNet and Transformer for Chinese Grammatical Error Diagnosis
Grammatical error diagnosis is an important task in natural language processing. This paper introduces our system at NLPTEA-2020 Task: Chinese Grammatical Error Diagnosis (CGED). CGED aims to diagnose four types of gramm…
PositionFrom Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction
Chinese Grammatical Error Correction (CGEC) aims to generate a correct sentence from an erroneous sequence, where different kinds of errors are mixed. This paper divides the CGEC task into two steps, namely spelling erro…
Data AugmentationGrammatical Error CorrectionPOSSentenceUngrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
In the era of large language models (LLMs), in-context learning (ICL) stands out as an effective prompting strategy that explores LLMs' potency across various tasks. However, applying LLMs to grammatical error correction…
Grammatical Error CorrectionIn-Context Learning