Data for: Improving Named Entity Recognition in Noisy User-generated Text with Local Distance Neighbor Feature

NUToT Dataset (Noisy User-generated Text on Tor) Name: Noisy User-generated Text on Tor Acronym: NUToT Description: The data is annotated for Named Entity Recognition (NER) task, and it involves six categories: Person, Location, Group, Creative work, Corporation, and Product. The Text comes from the domains of two categories of DUTA dataset (DUTA DATASET: http://gvis.unileon.es/dataset/duta-darknet-usage-text-addresses/). They are Drugs and Weapons. The dataset has 851 Sentences with 1200 named entities. The dataset is also available on our group website: http://gvis.unileon.es/dataset/nutot/

NUToT数据集（Noisy User-generated Text on Tor），全称为Noisy User-generated Text on Tor，缩写为NUToT。本数据集专为命名实体识别（Named Entity Recognition, NER）任务标注，涵盖六大实体类别：人物（Person）、地点（Location）、群组（Group）、创作作品（Creative work）、企业（Corporation）与产品（Product）。其文本来源于DUTA数据集（DUTA DATASET: http://gvis.unileon.es/dataset/duta-darknet-usage-text-addresses/）的两个领域：毒品与武器领域。该数据集共包含851条句子，总计1200个命名实体。本数据集亦可在我们团队的官方网站获取：http://gvis.unileon.es/dataset/nutot/