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 …
Mrrl: Modifying the reference via reinforcement learning for non-autoregressive joint multiple intent detection and slot filling
With the rise of non-autoregressive approach, some non-autoregressive models for joint
multiple intent detection and slot filling have obtained the promising inference speed …
multiple intent detection and slot filling have obtained the promising inference speed …
MESED: A multi-modal entity set expansion dataset with fine-grained semantic classes and hard negative entities
The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new
entities belonging to the same semantic class. Conventional ESE methods are based on …
entities belonging to the same semantic class. Conventional ESE methods are based on …
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 …
Contextual similarity is more valuable than character similarity: An empirical study for chinese spell checking
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spelling errors.
Recently, related researches focus on introducing character similarity from confusion set to …
Recently, related researches focus on introducing character similarity from confusion set to …
Disentangled phonetic representation for chinese spelling correction
Chinese Spelling Correction (CSC) aims to detect and correct erroneous characters in
Chinese texts. Although efforts have been made to introduce phonetic information (Hanyu …
Chinese texts. Although efforts have been made to introduce phonetic information (Hanyu …