Datasets › IPM NEL
IPM NEL (Derczynski IPM Named Entity Linking)
This data is for the task of named entity recognition and linking/disambiguation over tweets. It comprises the addition of an entity URI layer on top of an NER-annotated tweet dataset. The task is to detect entities and then provide a correct link to them in DBpedia, thus disambiguating otherwise ambiguous entity surface forms; for example, this means linking "Paris" to the correct instance of a city named that (e.g. Paris, France vs. Paris, Texas).
The data concentrates on ten types of named entities: company, facility, geographic location, movie, musical artist, person, product, sports team, TV show, and other.
The file is tab separated, in CoNLL format, with line breaks between tweets. Data preserves the tokenisation used in the Ritter datasets. PoS labels are not present for all tweets, but where they could be found in the Ritter data, they're given. In cases where a URI could not be agreed, or was not present in DBpedia, there is a NIL. See the paper for a full description of the methodology.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Entity Linking | Derczynski | ReLiK-Large Micro-F1 56.3 | ReLiK: Retrieve and LinK, Fast and Accurate Entity... | SapienzaNLP/relik +1 | 7 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 32. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget | 2 | 2 | 31 Jul 2024 | not harvested |
| Entity Disambiguation via Fusion Entity Decoding | 0 | 1 | 2 Apr 2024 | not harvested |
| ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking | 3 | 1 | 8 Jul 2022 | not harvested |
| Autoregressive Entity Retrieval | 2 | 1 | 2 Oct 2020 | not harvested |
| REL: An Entity Linker Standing on the Shoulders of Giants | 1 | 1 | 2 Jun 2020 | ran 0 of 2 samples (2 unverified) |
| End-to-End Neural Entity Linking | 1 | 1 | 23 Aug 2018 | ran 0 of 9 samples (9 unverified) |
Dataset loaders archive 2025-07-28
1 loader 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 4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Derczynski
- IPM NEL
2 variant names, as the archive lists them.
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