22 citations · 33 across the 6 of their papers we have counts for
6 papers
ParaLS: Lexical Substitution via Pretrained Paraphraser
Jipeng Qiang, Kang Liu, Yun Li +2
Lexical substitution (LS) aims at finding appropriate substitutes for a target word in a sentence. Recently, LS methods based on pretrained language models have made remarkable pro…
Sentence Simplification via Large Language Models
Yutao Feng, Jipeng Qiang, Yun Li +2
Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning. Large Language models (LLMs) have demonstrated the ability to pe…
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
Xinyu Lu, Jipeng Qiang, Yun Li +2
The availability of parallel sentence simplification (SS) is scarce for neural SS modelings. We propose an unsupervised method to build SS corpora from large-scale bilingual transl…
Lexical Simplification with Pretrained Encoders
Jipeng Qiang, Yun Li, Yi Zhu +2
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification ap…
A simple and effective postprocessing method for image classification
Yan Liu, Yun Li, Yunhao Yuan +1
Whether it is computer vision, natural language processing or speech recognition, the essence of these applications is to obtain powerful feature representations that make downstre…
STTM: A Tool for Short Text Topic Modeling
Jipeng Qiang, Yun Li, Yunhao Yuan +2
Along with the emergence and popularity of social communications on the Internet, topic discovery from short texts becomes fundamental to many applications that require semantic un…