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07/28/2023
Multilingual Lexical Simplification via Paraphrase Generation
Lexical simplification (LS) methods based on pretrained language models ...
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06/16/2023
Clickbait Detection via Large Language Models
Clickbait, which aims to induce users with some surprising and even thri...
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05/31/2023
Sentence Simplification Using Paraphrase Corpus for Initialization
Neural sentence simplification method based on sequence-to-sequence fram...
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05/14/2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
Lexical substitution (LS) aims at finding appropriate substitutes for a ...
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02/23/2023
Sentence Simplification via Large Language Models
Sentence Simplification aims to rephrase complex sentences into simpler ...
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02/23/2022
Prompt-Learning for Short Text Classification
In the short text, the extreme short length, feature sparsity and high a...
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09/01/2021
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
The availability of parallel sentence simplification (SS) is scarce for ...
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10/14/2020
Chinese Lexical Simplification
Lexical simplification has attracted much attention in many languages, w...
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06/25/2020
LSBert: A Simple Framework for Lexical Simplification
Lexical simplification (LS) aims to replace complex words in a given sen...
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07/14/2019
A Simple BERT-Based Approach for Lexical Simplification
Lexical simplification (LS) aims to replace complex words in a given sen...
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06/19/2019
A simple and effective postprocessing method for image classification
Whether it is computer vision, natural language processing or speech rec...
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10/10/2018
Improving Neural Text Simplification Model with Simplified Corpora
Text simplification (TS) can be viewed as monolingual translation task, ...
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08/07/2018
STTM: A Tool for Short Text Topic Modeling
Along with the emergence and popularity of social communications on the ...
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09/13/2016
