Browse State-of-the-Art › Relationship Extraction (Distant Supervised)
Relationship Extraction (Distant Supervised)
11 papers with code · 2 benchmarks · 1 dataset archive 2025-07-28
Relationship extraction is the task of extracting semantic relationships from a text. Extracted relationships usually occur between two or more entities of a certain type (e.g. Person, Organisation, Location) and fall into a number of semantic categories (e.g. married to, employed by, lives in).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| New York Times Corpus (9 rows) | KGPOOL | KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction | code | — | Compare |
| NYT (1 row) | DocDS | From Bag of Sentences to Document: Distantly Supervised Relation... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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19 Apr 2018 5 repositories listedRelation extraction is the problem of classifying the relationship between two entities in a given sentence.
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27 Jun 2024 1 repository listedWe demonstrate the advantages of statements by applying our model to over 2700 tables from ESG reports.
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1 Jun 2021 1 repository listedWe present a novel method for relation extraction (RE) from a single sentence, mapping the sentence and two given entities to a canonical fact in a knowledge graph (KG).
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24 May 2021 1 repository listedOn top of that, we further propose a novel constraint graph-based relation extraction framework(CGRE) to handle the two challenges simultaneously.
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1 Feb 2021 1 repository listedWe propose REDSandT (Relation Extraction with Distant Supervision and Transformers), a novel distantly-supervised transformer-based RE method, that manages to capture a wider set of relations through highly informative…
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8 Dec 2020 1 repository listedBy re-organizing all sentences about an entity as a document and extracting relations via querying the document with relation-specific questions, the document-based DS paradigm can simultaneously encode and exploit all…
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18 Sep 2020 1 repository listedIn this paper, we present a novel method named RECON, that automatically identifies relations in a sentence (sentential relation extraction) and aligns to a knowledge graph (KG).
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11 Dec 2018 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedIn this paper, we propose RESIDE, a distantly-supervised neural relation extraction method which utilizes additional side information from KBs for improved relation extraction.
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1 May 2018 1 repository listedSemi-supervised bootstrapping techniques for relationship extraction from text iteratively expand a set of initial seed instances.
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1 Aug 2016 1 repository listed
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1 Sep 2015 1 repository listed
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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