DBScholar

Back to papers

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

Summary: Bootleg: open-source, self-supervised NED using a simple transformer + hierarchical regularization to dramatically boost tail-entity disambiguation (up to +41.2 F1) and match/exceed SOTA on benchmarks. Calls out serving of entity embeddings and related data-management challenges. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
411
Venue
CIDR
Year
2021
Pagerank
5.2444447e-05
Overall Rank
9,614 | 34.04%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{orr_cidr21,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '21},
        title = {{Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Orr, Laurel and Leszczynski, Megan and Guha, Neel and Wu, Sen and Arora, Simran and Ling, Xiao and Ré, Christopher},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers