On the (in) effectiveness of large language models for chinese text correction
Recently, the development and progress of Large Language Models (LLMs) have amazed
the entire Artificial Intelligence community. As an outstanding representative of LLMs and the …
the entire Artificial Intelligence community. As an outstanding representative of LLMs and the …
CLEME: debiasing multi-reference evaluation for grammatical error correction
Evaluating the performance of Grammatical Error Correction (GEC) systems is a challenging
task due to its subjectivity. Designing an evaluation metric that is as objective as possible is …
task due to its subjectivity. Designing an evaluation metric that is as objective as possible is …
Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction
Abstract Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input
text, which benefits human daily life and various downstream tasks. Recent approaches …
text, which benefits human daily life and various downstream tasks. Recent approaches …
Towards real-world writing assistance: A chinese character checking benchmark with faked and misspelled characters
Writing assistance is an application closely related to human life and is also a fundamental
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
In recent years, Chinese Spelling Check (CSC) has been greatly improved by designing
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …
Mixedit: Revisiting data augmentation and beyond for grammatical error correction
Data Augmentation through generating pseudo data has been proven effective in mitigating
the challenge of data scarcity in the field of Grammatical Error Correction (GEC). Various …
the challenge of data scarcity in the field of Grammatical Error Correction (GEC). Various …
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
Recently, Large Language Models (LLMs) have been widely studied by researchers for their
roles in various downstream NLP tasks. As a fundamental task in the NLP field, Chinese …
roles in various downstream NLP tasks. As a fundamental task in the NLP field, Chinese …
Error Pattern Discovery in Spellchecking Using Multi-Class Confusion Matrix Analysis for the Croatian Language
This paper introduces a novel approach to the creation and application of confusion
matrices for error pattern discovery in spellchecking for the Croatian language. The …
matrices for error pattern discovery in spellchecking for the Croatian language. The …
Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension
Although the pre-trained language models have achieved great success on machine
reading comprehension task, they often rely on large-scale annotated data, while only a little …
reading comprehension task, they often rely on large-scale annotated data, while only a little …
UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities
Entity Set Expansion (ESE) aims to identify new entities belonging to the same semantic
class as a given set of seed entities. Traditional methods primarily relied on positive seed …
class as a given set of seed entities. Traditional methods primarily relied on positive seed …