Few-shot NER

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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.

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

4 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 42 papers with code (63 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.

• Few-NERD: A Few-Shot Named Entity Recognition Dataset
  16 May 2021 7 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  In this paper, we present Few-NERD, a large-scale human-annotated few-shot NER dataset with a hierarchy of 8 coarse-grained and 66 fine-grained entity types.
• Learning In-context Learning for Named Entity Recognition
  18 May 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  M}$, and a new entity extractor can be implicitly constructed by applying new instruction and demonstrations to PLMs, i.
• Learning In-context Learning for Named Entity Recognition
  18 May 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  M}$, and a new entity extractor can be implicitly constructed by applying new instruction and demonstrations to PLMs, i.
• Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
  13 Feb 2023 2 repositories listed
  Despite the recent success achieved by several two-stage prototypical networks in few-shot named entity recognition (NER) task, the overdetected false spans at the span detection stage and the inaccurate and unstable…
• FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
  4 Feb 2025 1 repository listed
  We introduce FewTopNER, a novel framework that integrates few-shot named entity recognition (NER) with topic-aware contextual modeling to address the challenges of cross-lingual and low-resource scenarios.
• FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
  4 Feb 2025 1 repository listed
  We introduce FewTopNER, a novel framework that integrates few-shot named entity recognition (NER) with topic-aware contextual modeling to address the challenges of cross-lingual and low-resource scenarios.
• Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection
  30 Nov 2024 1 repository listed
  Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions.
• Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection
  30 Nov 2024 1 repository listed
  Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions.
• LLMs in Biomedicine: A study on clinical Named Entity Recognition
  10 Apr 2024 1 repository listed
  Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but encounter distinct challenges in biomedical due to the complexities of language and data scarcity.
• LLMs in Biomedicine: A study on clinical Named Entity Recognition
  10 Apr 2024 1 repository listed
  Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but encounter distinct challenges in biomedical due to the complexities of language and data scarcity.
• Few-shot Named Entity Recognition via Superposition Concept Discrimination
  25 Mar 2024 1 repository listed
  Then a superposition instance retriever is applied to retrieve corresponding instances of these superposition concepts from large-scale text corpus.
• Few-shot Named Entity Recognition via Superposition Concept Discrimination
  25 Mar 2024 1 repository listed
  Then a superposition instance retriever is applied to retrieve corresponding instances of these superposition concepts from large-scale text corpus.
• A Model Ensemble Approach with LLM for Chinese Text Classification
  22 Mar 2024 1 repository listed
  Automatic medical text categorization can assist doctors in efficiently managing patient information.
• Decomposed Meta-Learning for Few-Shot Sequence Labeling
  4 Mar 2024 1 repository listed
  With the detected mention spans, we further leverage the MAML-enhanced span-level prototypical network for few-shot type classification.
• NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
  23 Feb 2024 1 repository listed
  Large Language Models (LLMs) have shown impressive abilities in data annotation, opening the way for new approaches to solve classic NLP problems.
• Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
  18 Jan 2024 1 repository listed
  Fine-grained few-shot entity extraction in the chemical domain faces two unique challenges.
• Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
  13 Dec 2023 1 repository listed
  However, the present few-shot NER models assume that the labeled data are all clean without noise or outliers, and there are few works focusing on the robustness of the cross-domain transfer learning ability to textual…
• Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
  13 Dec 2023 1 repository listed
  However, the present few-shot NER models assume that the labeled data are all clean without noise or outliers, and there are few works focusing on the robustness of the cross-domain transfer learning ability to textual…
• HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition
  21 Oct 2023 1 repository listed
  Great efforts have been made on this task with competitive performance, however, they usually treat the two subtasks, namely span detection and type classification, as mutually independent, and the integrity and…
• Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
  15 Oct 2023 1 repository listed
  To address this limitation, recent studies enable generalization to an unseen target domain with only a few labeled examples using data augmentation techniques.
• Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
  15 Oct 2023 1 repository listed
  To address this limitation, recent studies enable generalization to an unseen target domain with only a few labeled examples using data augmentation techniques.
• A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
  28 Aug 2023 1 repository listed
  The objective of few-shot named entity recognition is to identify named entities with limited labeled instances.
• A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
  28 Aug 2023 1 repository listed
  The objective of few-shot named entity recognition is to identify named entities with limited labeled instances.
• How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
  1 Jul 2023 1 repository listed
  Recent advancements in language models (LMs) have led to the emergence of powerful models such as Small LMs (e.
• How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
  1 Jul 2023 1 repository listed
  Recent advancements in language models (LMs) have led to the emergence of powerful models such as Small LMs (e.
• TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
  6 Jun 2023 1 repository listed
  Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions.
• TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
  6 Jun 2023 1 repository listed
  Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions.
• PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
  20 May 2023 1 repository listed
  We use prompts that contains entity category information to construct label prototypes, which enables our model to fine-tune with only the support set.
• PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
  20 May 2023 1 repository listed
  We use prompts that contains entity category information to construct label prototypes, which enables our model to fine-tune with only the support set.
• From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
  5 May 2023 1 repository listed
  Supervised named entity recognition (NER) in the biomedical domain depends on large sets of annotated texts with the given named entities.

Syntology lines on 3 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.