1 code implementation • ACL 2022 • Xingwei He, Siu Ming Yiu
In this paper, we introduce the problem of dictionary example sentence generation, aiming to automatically generate dictionary example sentences for targeted words according to the corresponding definitions.
no code implementations • 12 Dec 2023 • Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu
Given the lack of paired data (i. e., false claims and their corresponding correct claims), existing methods typically adopt the mask-then-correct paradigm.
no code implementations • 7 Nov 2023 • Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo
Most dense retrieval models contain an implicit assumption: the training query-document pairs are exactly matched.
2 code implementations • 29 Mar 2023 • Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen
Many natural language processing (NLP) tasks rely on labeled data to train machine learning models with high performance.
1 code implementation • 18 Dec 2022 • Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu Ming Yiu, Nan Duan
The dual-encoder has become the de facto architecture for dense retrieval.
no code implementations • 21 Oct 2022 • Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, SM Yiu, Nan Duan
Commonsense generation aims to generate a realistic sentence describing a daily scene under the given concepts, which is very challenging, since it requires models to have relational reasoning and compositional generalization capabilities.
1 code implementation • EMNLP 2021 • Xingwei He
Lexically constrained text generation aims to control the generated text by incorporating some pre-specified keywords into the output.
1 code implementation • 13 Sep 2021 • Xingwei He, Victor O. K. Li
To overcome this challenge, we used a classifier to instruct the MCMC-based models where and how to refine the candidate sentences.