Datasets › NYT11-HRL

NYT11-HRL

Introduced by Ryuichi Takanobu et al. in A Hierarchical Framework for Relation Extraction with Reinforcement Learning9 Nov 2018 archive 2025-07-28

Preprocessed version of NYT11.

Each relational triple is formatted as follows:

rtext : relation type em1 : source entity mention em2 : target entity mention tags : the proposed entity annotation scheme for the sentence 0 : O non-entity 1 : S_I inside of a source entity 2 : T_I inside of a target entity 3 : O_I inside of not-concerned entity 4 : S_B begin of a source entity 5 : T_B begin of a target entity 6 : O_B begin of not-concerned entity

Benchmarks archive 2025-07-28

All 1 leaderboard 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
Relation Extraction NYT11-HRL RERE F1 56.23 Revisiting the Negative Data of Distantly Supervised... redreamality/RERE-relation-extraction 12 Compare

Papers archive 2025-07-28

8 shown of 8 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 15. 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

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

None

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • NYT11-HRL

1 variant name, as the archive lists them.

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