为您节省点击：自动删除Clickbait标题
Saved You A Click: Automatically Answering Clickbait Titles
摘要：
通常点击诱饵文章有一个标题，这是一个问题或模糊的挑逗，诱使用户点击链接，阅读文章找到解释。我们开发了一个系统，可以自动从网站文本中找到clickbait hook的答案或解释，这样用户就不需要自己阅读文本。我们使用从“StopClickbait”Facebook页面和Reddit的“SavedYouAClick”子论坛中抓取的数据，对提取的问答模型（RoberTa）和抽象模型（T5）进行了微调。我们发现，提取和抽象模型在微调后都有显着改善。我们发现，根据ROUGE分数，提取模型的表现略好，而抽象模型在BERT分数方面有轻微的优势。
英文摘要：
Often clickbait articles have a title that is phrased as a question or vague teaser that entices the user to click on the link and read the article to find the explanation. We developed a system that will automatically find the answer or explanation of the clickbait hook from the website text so that the user does not need to read through the text themselves. We fine-tune an extractive question and answering model (RoBERTa) and an abstractive one (T5), using data scraped from the 'StopClickbait' Facebook pages and Reddit's 'SavedYouAClick' subforum. We find that both extractive and abstractive models improve significantly after finetuning. We find that the extractive model performs slightly better according to ROUGE scores, while the abstractive one has a slight edge in terms of BERTscores.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
