Browse State-of-the-Art › Nested Named Entity Recognition
Nested Named Entity Recognition
46 papers with code · 6 benchmarks · 14 datasets archive 2025-07-28
Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured entities) mentioned in unstructured text (Source: Adapted from Wikipedia).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 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 |
|---|---|---|---|---|---|
| GENIA (26 rows) | PIQN | Parallel Instance Query Network for Named Entity Recognition | code | — | Compare |
| ACE 2005 (25 rows) | BINDER | Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning | code | Syntology ran 4 of 4 samples · 0 unverified | Compare |
| ACE 2004 (24 rows) | PromptNER [RoBERTa-large] | PromptNER: Prompt Locating and Typing for Named Entity Recognition | code | — | Compare |
| NNE (6 rows) | Pyramid | Pyramid: A Layered Model for Nested Named Entity Recognition | code | — | Compare |
| TAC-KBP 2017 (3 rows) | Triaffine + ALBERT | Fusing Heterogeneous Factors with Triaffine Mechanism for Nested... | code | — | Compare |
| Chilean Waiting List (1 row) | Multiple LSTM-CRF | Simple Yet Powerful: An Overlooked Architecture for Nested Named... | 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
14 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 46 papers with code (81 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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25 Oct 2019 8 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 2 pointer-only (licence)Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.
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22 May 2023 3 repositories listedIn this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy spans.
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5 Sep 2019 3 repositories listedWhen an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.
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1 Oct 2022 2 repositories listedNamed Entity Recognition (NER) is an important task in Natural Language Processing that aims to identify text spans belonging to predefined categories.
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14 Jan 2021 2 repositories listedWe propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition,…
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1 Jul 2020 2 repositories listedIts hidden state at layer l represents an l-gram in the input text, which is labeled only if its corresponding text region represents a complete entity mention.
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22 Apr 2025 1 repository listedIn this paper, we describe our participation in the RuTermEval competition devoted to extracting nested terms.
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12 Jun 2024 1 repository listedIn this paper, we investigate the feasibility of further introducing it to the output side, aiming to allow models to output binary labels instead.
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14 Oct 2023 1 repository listedThis work introduces the novel task of nested compound type identification (NeCTI), which aims to identify nested spans of a multi-component compound and decode the implicit semantic relations between them.
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30 May 2023 1 repository listedLastly, we implement a system that learns to combine the predictions of SEQ and SpanPred, generating systems that consistently give high recall and high F1 across all 4 datasets.
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26 May 2023 1 repository listedPrompt learning is a new paradigm for utilizing pre-trained language models and has achieved great success in many tasks.
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19 Oct 2022 1 repository listedNamed entity recognition is a traditional task in natural language processing.
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Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition19 Oct 2022 1 repository listedNamed entity recognition is a fundamental task in natural language processing, identifying the span and category of entities in unstructured texts.
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30 Aug 2022 1 repository listed Syntology ran 4 of 4 samples · 0 unverifiedWe present a bi-encoder framework for named entity recognition (NER), which applies contrastive learning to map candidate text spans and entity types into the same vector representation space.
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9 Aug 2022 1 repository listedIn this paper, we propose using Convolutional Neural Network (CNN) to model these spatial relations in the score matrix.
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23 May 2022 1 repository listedIn the test set the frequency of all entity types is even.
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19 May 2022 1 repository listedThis paper presents Wojood, a corpus for Arabic nested Named Entity Recognition (NER).
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1 May 2022 1 repository listedOur work, to the best of our knowledge, presents the largest non-English N-NER dataset and the first non-English one with fine-grained classes.
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27 Apr 2022 1 repository listedIn the refine stage, proposals interact with each other, and richer contextual information is incorporated into the proposal representations.
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26 Apr 2022 1 repository listedNeural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration.
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8 Apr 2022 1 repository listedFurthermore, we conduct ablation studies on the pretraining tasks for BioBART and find that sentence permutation has negative effects on downstream tasks.
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7 Apr 2022 1 repository listedThe annotated corpus, clinical word embeddings, annotation guidelines, and neural models are freely released to the community.
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20 Mar 2022 1 repository listedEach instance query predicts one entity, and by feeding all instance queries simultaneously, we can query all entities in parallel.
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9 Mar 2022 1 repository listedThey treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.
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19 Dec 2021 1 repository listedSo far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
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14 Oct 2021 1 repository listedTo fuse these heterogeneous factors, we propose a novel triaffine mechanism including triaffine attention and scoring.
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11 Oct 2021 1 repository listedConstituency parsing and nested named entity recognition (NER) are similar tasks since they both aim to predict a collection of nested and non-crossing spans.
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1 Aug 2021 1 repository listedThis paper presents a novel method for nested named entity recognition.
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2 Jun 2021 1 repository listedTo that end, we propose to formulate the NER subtasks as an entity span sequence generation task, which can be solved by a unified sequence-to-sequence (Seq2Seq) framework.
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19 May 2021 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)We utilize a non-autoregressive decoder to predict the final set of entities in one pass, in which we are able to capture dependencies between 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.
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