Datasets › Broad Twitter Corpus

Broad Twitter Corpus

Introduced by Leon Derczynski et al. in Broad Twitter Corpus: A Diverse Named Entity Recognition Resource1 Dec 2016 archive 2025-07-28

This paper introduces the Broad Twitter Corpus (BTC), which is not only significantly bigger, but sampled across different regions, temporal periods, and types of Twitter users. The gold-standard named entity annotations are made by a combination of NLP experts and crowd workers, which enables us to harness crowd recall while maintaining high quality. We also measure the entity drift observed in our dataset (i.e. how entity representation varies over time), and compare to newswire.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Zero-shot Named Entity Recognition (NER) Broad Twitter Corpus NuNerZero Span Entity F1 60.2 NuNER: Entity Recognition Encoder Pre-training via... Serega6678/NuNER 2 Compare
Named Entity Recognition (NER) Broad Twitter Corpus WORD_GAZ Entity F1 74.70 The Utility and Interplay of Gazetteers and Entity... — 1 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Broad Twitter Corpus

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections