6 天之前 · We present a new challenging stance detection dataset, called Will-They-Won’t-They (WT–WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type.

2020年5月1日 · We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type.

We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type.

Will-They-Won't-They (WT-WT) is a large dataset of English tweets targeted at stance detection for the rumor verification task. The dataset is constructed based on tweets that discuss five …

Will-They-Won't-They (WT-WT) 是一个大型的英语推文数据集，针对谣言验证任务的姿态检测。 该数据集是基于讨论美国公司最近的五家并购 (M&A) 业务的推文构建的，这些公司主要来自医疗保健行业。 所有注释均由领域专家执行；因此，该数据集构成了未来姿态检测研究的高质量和可靠的基准。 title={Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter},

2024年3月8日 · We present a new challenging stance detection dataset, called Will-They-Won’t-They 1 (wt–wt), which contains 51,284 tweets in English, making it by far the largest available dataset of the type.

WTW-Dataset is the first wild table dataset for table detection and table structure recongnition tasks, which is constructed from photoing, scanning and web pages, covers 7 challenging cases like: (1)Inclined tables, (2) Curved tables, (3) Occluded tables or blurredtables (4) Extreme aspect ratio tables (5) Overlaid tables, (6) Multi-color tabl...

Specifically, a simple tweet classification model achieved human-level performance on the WT–WT dataset and more than two-third accuracy on various other datasets. We investigate the existence of biases in such datasets to find the potential spurious correlations of sentiment-stance relations and lexical choice associated with the stance category.

Targeted-WTWT, a derivative of the WTWT dataset, is a new large-scale stance detection dataset on which target-oblivious models fails to perform well. Thiss serves as a better dataset to train and evaluate models. For more details about Targeted-WTWT, please refer to our NAACL 2021 paper: Kaushal et al. 2021

Check out the latest tweets from @%23shadman on Twitter.