Datasets › FIGER

FIGER (Fine-Grained Entity Recognition)

Introduced in Fine-Grained Entity Recognition1 Jan 2012 archive 2025-07-28

The FIGER dataset is an entity recognition dataset where entities are labelled using fine-grained system 112 tags, such as person/doctor, art/written_work and building/hotel. The tags are derivied from Freebase types. The training set consists of Wikipedia articles automatically annotated with distant supervision approach that utilizes the information encoded in anchor links. The test set was annotated manually.

Source: http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5152

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.

Papers archive 2025-07-28

2 shown of 2 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 96. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference 1 1 12 Feb 2022 not harvested
ERNIE: Enhanced Language Representation with Informative Entities 2 1 17 May 2019 ran 3 of 3 samples (0 unverified; 1 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • FIGER

1 variant name, as the archive lists them.

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