22 citations · 53 across the 12 of their papers we have counts for
12 papers
Multilingual Lexical Simplification via Paraphrase Generation
Kang Liu, Jipeng Qiang, Yun Li +3
Lexical simplification (LS) methods based on pretrained language models have made remarkable progress, generating potential substitutes for a complex word through analysis of its c…
Clickbait Detection via Large Language Models
Han Wang, Yi Zhu, Ye Wang +3
Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as…
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…
Chinese Idiom Paraphrasing
Jipeng Qiang, Yang Li, Chaowei Zhang +4
Idioms, are a kind of idiomatic expression in Chinese, most of which consist of four Chinese characters. Due to the properties of non-compositionality and metaphorical meaning, Chi…
Prompt-Learning for Short Text Classification
Yi Zhu, Xinke Zhou, Jipeng Qiang +3
In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks. Recently, as an effective method for tuning Pre-tr…
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…
Chinese Lexical Simplification
Jipeng Qiang, Xinyu Lu, Yun Li +3
Lexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent m…
LSBert: A Simple Framework for Lexical Simplification
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, to simplify the sentence. Recently unsupervised…
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…