Continual Relation Extraction

Description from the archive archive 2025-07-28.

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

No dataset record in the archive lists this task.

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

9 shown of 9 papers with code (16 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.

• Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
  6 Jan 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  We propose a novel curriculum-meta learning method to tackle the above two challenges in continual relation extraction.
• Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive Prompting
  20 May 2025 1 repository listed
  Memory-based approaches have shown strong performance in Continual Relation Extraction (CRE).
• Preserving Generalization of Language models in Few-shot Continual Relation Extraction
  1 Oct 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Few-shot Continual Relations Extraction (FCRE) is an emerging and dynamic area of study where models can sequentially integrate knowledge from new relations with limited labeled data while circumventing catastrophic…
• Rationale-Enhanced Language Models are Better Continual Relation Learners
  10 Oct 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Continual relation extraction (CRE) aims to solve the problem of catastrophic forgetting when learning a sequence of newly emerging relations.
• Improving Continual Relation Extraction by Distinguishing Analogous Semantics
  11 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To address this issue, we propose a novel continual extraction model for analogous relations.
• Enhancing Continual Relation Extraction via Classifier Decomposition
  8 May 2023 1 repository listed
  In this work, we point out that there exist two typical biases after training of this vanilla strategy: classifier bias and representation bias, which causes the previous knowledge that the model learned to be shaded.
• Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
  10 Oct 2022 1 repository listed
  In this paper, through empirical studies we argue that this assumption may not hold, and an important reason for catastrophic forgetting is that the learned representations do not have good robustness against the…
• Consistent Representation Learning for Continual Relation Extraction
  5 Mar 2022 1 repository listed Syntology ran 7 of 12 samples · 5 unverified · 12 pointer-only (licence)
  Specifically, supervised contrastive learning based on a memory bank is first used to train each new task so that the model can effectively learn the relation representation.
• Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
  1 Aug 2021 1 repository listed
  As a typical task of continual learning, continual relation extraction (CRE) aims to extract relations between entities from texts, where the samples of different relations are delivered into the model continuously.

Syntology lines on 5 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.