Browse State-of-the-Art › named-entity-recognition
named-entity-recognition
908 papers with code · 0 benchmarks · 2 datasets 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
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
30 shown of 908 papers with code (2,491 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.
-
31 Aug 2019 10 repositories listedThe 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…
-
8 Dec 2020 5 repositories listedCross-domain named entity recognition (NER) models are able to cope with the scarcity issue of NER samples in target domains.
-
20 May 2021 4 repositories listedWe introduce Korean Language Understanding Evaluation (KLUE) benchmark.
-
28 Feb 2020 4 repositories listedRecently, 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.
-
7 Nov 2019 4 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedMany 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…
-
8 Sep 2019 4 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedWe examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.
-
27 Nov 2024 3 repositories listedDesigning 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.
-
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.
-
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).
-
25 Jan 2023 3 repositories listedLarge multilingual language models typically rely on a single vocabulary shared across 100+ languages.
-
8 Nov 2022 3 repositories listedIn this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering research on the challenging ATC field, which has lagged behind due to lack of annotated data.
-
22 Oct 2020 3 repositories listed Syntology ran 1 of 8 samples · 7 unverifiedSimple yet effective data augmentation techniques have been proposed for sentence-level and sentence-pair natural language processing tasks.
-
20 May 2020 3 repositories listedWe present BERTweet, the first public large-scale pre-trained language model for English Tweets.
-
30 Apr 2020 3 repositories listedThe main goal behind state-of-the-art pre-trained multilingual models such as multilingual BERT and XLM-R is enabling and bootstrapping NLP applications in low-resource languages through zero-shot or few-shot…
-
19 Mar 2020 3 repositories listedIn this paper, we use the pre-trained deep bidirectional network, BERT, to make a model for named entity recognition in Persian.
-
16 Mar 2020 3 repositories listedIn all 20 annotation sets of the concept-annotation task, our system outperforms the pipeline system reported as a baseline in the CRAFT shared task 2019.
-
13 Jan 2020 3 repositories listedIn this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese.
-
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.
-
4 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Cognitive language processing data such as eye-tracking features have shown improvements on single NLP tasks.
-
22 Mar 2019 3 repositories listedWe present a reusable methodology for creation and evaluation of such tests in a multilingual setting.
-
13 Sep 2017 3 repositories listedIn this study, we develop a novel neural framework to extract abundant knowledge hidden in raw texts to empower the sequence labeling task.
-
1 Apr 2025 2 repositories listedWe find that the best-performing mLLM model significantly outperforms conventional state-of-the-art OCR models and other frontier mLLMs.
-
12 Sep 2024 2 repositories listedIn this paper, we introduce WhisperNER, a novel model that allows joint speech transcription and entity recognition.
-
11 Jun 2024 2 repositories listedGrounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions.
-
20 Apr 2024 2 repositories listedWe test widely used NER toolkits and transformer models, including models using the pre-trained contextual models RoBERTa and ELECTRA, on three datasets: a commonly used British English newswire dataset, CoNLL 2003, a…
-
18 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)Streaming text generation has become a common way of increasing the responsiveness of language model powered applications, such as chat assistants.
-
18 Mar 2024 2 repositories listedOur findings provide insights into the differing performance of BERT- and T5-based models for the NER task.
-
26 Feb 2024 2 repositories listedIn the Named Entity Recognition (NER) task, recent advancements have seen the remarkable improvement of LLMs in a broad range of entity domains via instruction tuning, by adopting entity-centric schema.
-
15 Feb 2024 2 repositories listedGrounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions.
-
16 Dec 2023 2 repositories listedDef2Vec introduces a novel paradigm for word embeddings, leveraging dictionary definitions to learn semantic representations.
Syntology lines on 6 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections