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

Published: 31-03-2020| Version 1 | DOI: 10.17632/nsfdt6m47j.1
Contributor:
Mhd Wesam AL-NABKI

Description

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/

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