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Found 15 papers, 10 papers with code
Prompt-tuning for Clickbait Detection via Text Summarization
To address this problem, we propose a prompt-tuning method for clickbait detection via text summarization in this paper, text summarization is introduced to summarize the contents, and clickbait detection is performed based on the similarity between the generated summary and the contents.
Multilingual Lexical Simplification via Paraphrase Generation
After feeding the input sentence into the encoder of paraphrase modeling, we generate the substitutes based on a novel decoding strategy that concentrates solely on the lexical variations of the complex word.
Clickbait Detection via Large Language Models
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 news portals and social media.
ParaLS: Lexical Substitution via Pretrained Paraphraser
Lexical substitution (LS) aims at finding appropriate substitutes for a target word in a sentence.
Sentence Simplification via Large Language Models
Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning.
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors.
Minority Stress Experienced by LGBTQ Online Communities during the COVID-19 Pandemic
We find that anger words are strongly associated with minority stress during the COVID-19 pandemic.
Chinese Idiom Paraphrasing
Idioms, are a kind of idiomatic expression in Chinese, most of which consist of four Chinese characters.
Prompt-Learning for Short Text Classification
In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks.
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
The availability of parallel sentence simplification (SS) is scarce for neural SS modelings.
Chinese Lexical Simplification
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 meaning.
LSBert: A Simple Framework for Lexical Simplification
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning, to simplify the sentence.
Lexical Simplification with Pretrained Encoders
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning.
A simple and effective postprocessing method for image classification
Whether it is computer vision, natural language processing or speech recognition, the essence of these applications is to obtain powerful feature representations that make downstream applications completion more efficient.
STTM: A Tool for Short Text Topic Modeling
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 understanding of textual content.
Information Retrieval
