Named Entity Recognition

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

20 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

30 shown of 969 papers with code (2,560 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.

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  11 Oct 2018 534 repositories listed Syntology ran 204 of 659 samples · 455 unverified · 149 pointer-only (licence)
  We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.
• Neural Architectures for Named Entity Recognition
  4 Mar 2016 43 repositories listed Syntology ran 10 of 36 samples · 26 unverified · 6 pointer-only (licence)
  State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available.
• End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
  4 Mar 2016 25 repositories listed Syntology ran 4 of 24 samples · 20 unverified · 3 pointer-only (licence)
  State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing.
• ERNIE: Enhanced Representation through Knowledge Integration
  19 Apr 2019 19 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration).
• BioBERT: a pre-trained biomedical language representation model for biomedical text mining
  25 Jan 2019 19 repositories listed Syntology ran 4 of 25 samples · 21 unverified · 1 pointer-only (licence)
  Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
• Named Entity Recognition with Bidirectional LSTM-CNNs
  26 Nov 2015 14 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 4 pointer-only (licence)
  Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
• NEZHA: Neural Contextualized Representation for Chinese Language Understanding
  31 Aug 2019 10 repositories listed
  The pre-trained language models have achieved great successes in various natural language understanding (NLU) tasks due to its capacity to capture the deep contextualized information in text by pre-training on…
• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
  2 Oct 2020 9 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer.
• CamemBERT: a Tasty French Language Model
  10 Nov 2019 8 repositories listed
  We show that the use of web crawled data is preferable to the use of Wikipedia data.
• A Unified MRC Framework for Named Entity Recognition
  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.
• 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.
• TENER: Adapting Transformer Encoder for Named Entity Recognition
  10 Nov 2019 6 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task.
• The Natural Language Decathlon: Multitask Learning as Question Answering
  20 Jun 2018 6 repositories listed Syntology ran 1 of 13 samples · 12 unverified · 4 pointer-only (licence)
  Though designed for decaNLP, MQAN also achieves state of the art results on the WikiSQL semantic parsing task in the single-task setting.
• A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
  13 Nov 2024 5 repositories listed
  On the other hand, we implement the ICL approach with an example selection method based on named entity recognition to prevent overemphasis on entities.
• CrossNER: Evaluating Cross-Domain Named Entity Recognition
  8 Dec 2020 5 repositories listed
  Cross-domain named entity recognition (NER) models are able to cope with the scarcity issue of NER samples in target domains.
• Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
  29 Jul 2020 5 repositories listed
  We introduce biomedical and clinical English model packages for the Stanza Python NLP library.
• Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
  16 Mar 2020 5 repositories listed Syntology ran 16 of 30 samples · 14 unverified · 28 pointer-only (licence)
  We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages.
• KLUE: Korean Language Understanding Evaluation
  20 May 2021 4 repositories listed
  We introduce Korean Language Understanding Evaluation (KLUE) benchmark.
• Neural Modeling for Named Entities and Morphology (NEMO^2)
  30 Jul 2020 4 repositories listed
  Named Entity Recognition (NER) is a fundamental NLP task, commonly formulated as classification over a sequence of tokens.
• AraBERT: Transformer-based Model for Arabic Language Understanding
  28 Feb 2020 4 repositories listed
  Recently, with the surge of transformers based models, language-specific BERT based models have proven to be very efficient at language understanding, provided they are pre-trained on a very large corpus.
• Dice Loss for Data-imbalanced NLP Tasks
  7 Nov 2019 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Many NLP tasks such as tagging and machine reading comprehension are faced with the severe data imbalance issue: negative examples significantly outnumber positive examples, and the huge number of background examples…
• Entity, Relation, and Event Extraction with Contextualized Span Representations
  8 Sep 2019 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.
• CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor
  29 Mar 2019 4 repositories listed
  Extracting key information from documents, such as receipts or invoices, and preserving the interested texts to structured data is crucial in the document-intensive streamline processes of office automation in areas…
• Few-shot Learning for Named Entity Recognition in Medical Text
  13 Nov 2018 4 repositories listed
  Deep neural network models have recently achieved state-of-the-art performance gains in a variety of natural language processing (NLP) tasks (Young, Hazarika, Poria, & Cambria, 2017).
• An Incremental Parser for Abstract Meaning Representation
  22 Aug 2016 4 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  We describe a transition-based parser for AMR that parses sentences left-to-right, in linear time.
• Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
  12 Jun 2003 4 repositories listed
  We describe the CoNLL-2003 shared task: language-independent named entity recognition.
• RITA: Automatic Framework for Designing of Resilient IoT Applications
  27 Nov 2024 3 repositories listed
  Designing resilient Internet of Things (IoT) systems requires i) identification of IoT Critical Objects (ICOs) such as services, devices, and resources, ii) threat analysis, and iii) mitigation strategy selection.
• DiffusionNER: Boundary Diffusion for Named Entity Recognition
  22 May 2023 3 repositories listed
  In 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.
• FiNER-ORD: Financial Named Entity Recognition Open Research Dataset
  22 Feb 2023 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Over the last two decades, the development of the CoNLL-2003 named entity recognition (NER) dataset has helped enhance the capabilities of deep learning and natural language processing (NLP).
• XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
  25 Jan 2023 3 repositories listed
  Large multilingual language models typically rely on a single vocabulary shared across 100+ languages.

Syntology lines on 16 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.