WNUT 2016 Dataset
Created by Strauss et al. at 2016, the WNUT 2016 Dataset is annotated with 10 fine-grained NER categories: person, geo-location, company, facility, product,music artist, movie, sports team, tv show and other. Dataset was extracted from tweets and is structured in CoNLL format., in English language. Containing 5,63 in Text file format.
Dataset Sources
Here you can download the WNUT 2016 dataset in Text format.
Download WNUT 2016 dataset Text files
Fine-tune with WNUT 2016 dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original WNUT 2016 paper.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.