35 citations · 78 across the 7 of their papers we have counts for
7 papers
Prompt-tuning for Clickbait Detection via Text Summarization
Haoxiang Deng, Yi Zhu, Ye Wang +4
Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercia…
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…
Sentence Simplification Using Paraphrase Corpus for Initialization
Kang Liu, Jipeng Qiang
Neural sentence simplification method based on sequence-to-sequence framework has become the mainstream method for sentence simplification (SS) task. Unfortunately, these methods a…
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…
Topic Modeling over Short Texts by Incorporating Word Embeddings
Jipeng Qiang, Ping Chen, Tong Wang +1
Inferring topics from the overwhelming amount of short texts becomes a critical but challenging task for many content analysis tasks, such as content charactering, user interest pr…