Zero-shot Relation Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

2 datasets 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.

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (13 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.

• RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
  17 Mar 2022 2 repositories listed Syntology ran 15 of 26 samples · 11 unverified · 16 pointer-only (licence)
  We introduce the task setting of Zero-Shot Relation Triplet Extraction (ZeroRTE) to encourage further research in low-resource relation extraction methods.
• GLiREL -- Generalist Model for Zero-Shot Relation Extraction
  6 Jan 2025 1 repository listed
  We introduce GLiREL (Generalist Lightweight model for zero-shot Relation Extraction), an efficient architecture and training paradigm for zero-shot relation classification.
• On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
  28 Feb 2024 1 repository listed
  Recent zero-shot classification methods converted the task to other NLP tasks (e.
• Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
  15 Aug 2023 1 repository listed
  Is it possible accurately classify political relations within evolving event ontologies without extensive annotations?
• Enhancing Semantic Correlation between Instances and Relations for Zero-Shot Relation Extraction
  15 Jun 2023 1 repository listed
  This study argues that enhancing the semantic correlation between instances and relations is key to effectively solving the zero-shot relation extraction task.
• Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
  8 Dec 2021 1 repository listed
  We learn the representations of both seen and unseen relations with augmented instances and prompts.
• ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
  10 Apr 2021 1 repository listed
  While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be…
• Zero-shot Relation Classification from Side Information
  13 Nov 2020 1 repository listed
  We propose a zero-shot learning relation classification (ZSLRC) framework that improves on state-of-the-art by its ability to recognize novel relations that were not present in training data.

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.