8 citations · 8 across the 5 of their papers we have counts for
5 papers
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Chenming Tang, Xiuyu Wu, Yunfang Wu
Model ensemble has been in widespread use for Grammatical Error Correction (GEC), boosting model performance. We hypothesize that model ensemble based on the perplexity (PPL) compu…
An Error-Guided Correction Model for Chinese Spelling Error Correction
Rui Sun, Xiuyu Wu, Yunfang Wu
Although existing neural network approaches have achieved great success on Chinese spelling correction, there is still room to improve. The model is required to avoid over-correcti…
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction
Xiuyu Wu, Yunfang Wu
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 t…
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
Xiuyu Wu, Nan Jiang, Yunfang Wu
The answer-agnostic question generation is a significant and challenging task, which aims to automatically generate questions for a given sentence but without an answer. In this pa…
A Simple Dual-decoder Model for Generating Response with Sentiment
Xiuyu Wu, Yunfang Wu
How to generate human like response is one of the most challenging tasks for artificial intelligence. In a real application, after reading the same post different people might writ…