SOTAVerified

Named Entity Recognition (NER)

Named Entity Recognition (NER) is a task of Natural Language Processing (NLP) that involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. The goal of NER is to extract structured information from unstructured text data and represent it in a machine-readable format. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Example:

| Mark | Watney | visited | Mars | | --- | ---| --- | --- | | B-PER | I-PER | O | B-LOC |

( Image credit: Zalando )

Papers

Showing 10261050 of 2874 papers

TitleStatusHype
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages0
Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition0
Effect of Non-linear Deep Architecture in Sequence Labeling0
Effect of depth order on iterative nested named entity recognition models0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition0
Effective shared representations with Multitask Learning for Community Question Answering0
Bidirectional LSTM for Named Entity Recognition in Twitter Messages0
Effectiveness of Character Language Model for Vietnamese Named Entity Recognition0
Effective Context and Fragment Feature Usage for Named Entity Recognition0
Bidirectional LSTM-CRF for Named Entity Recognition0
EDRAK: Entity-Centric Data Resource for Arabic Knowledge0
ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification0
Beyond the Surface: Uncovering Implicit Locations with LLMs for Personalized Local News0
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization0
Active Learning for Coreference Resolution0
EAGER: Extending Automatically Gazetteers for Entity Recognition0
E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings0
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs0
Dynamic Transfer Learning for Named Entity Recognition0
Better Word Representations with Recursive Neural Networks for Morphology0
Dynamic Graph Transformer for Implicit Tag Recognition0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition0
Better Transition-Based AMR Parsing with a Refined Search Space0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACE + document-contextF194.6Unverified
2LUKE 483MF194.3Unverified
3Co-regularized LUKEF194.22Unverified
4LUKE + SubRegWeigh (K-means)F194.2Unverified
5ASP+T5-3BF194.1Unverified
6FLERT XLM-RF194.09Unverified
7PL-MarkerF194Unverified
8CL-KLF193.85Unverified
9XLNet-GCNF193.82Unverified
10RoBERTa + SubRegWeigh (K-means)F193.81Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-MRC+DSCF192.07Unverified
2PL-MarkerF191.9Unverified
3Baseline + BSF191.74Unverified
4Biaffine-NERF191.3Unverified
5BERT-MRCF191.11Unverified
6PIQNF190.96Unverified
7HGNF190.92Unverified
8Syn-LSTM + BERT (wo doc-context)F190.85Unverified
9DiffusionNERF190.66Unverified
10W2NERF190.5Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERTF189.71Unverified
2SpanModel + SequenceLabelingModelF189.6Unverified
3SciFive-BaseF189.39Unverified
4Spark NLPF189.13Unverified
5BLSTM-CNN-Char (SparkNLP)F189.13Unverified
6KeBioLMF189.1Unverified
7CL-KLF188.96Unverified
8BioKMNER + BioBERTF188.77Unverified
9BioLinkBERT (large)F188.76Unverified
10CompactBioBERTF188.67Unverified
#ModelMetricClaimedVerifiedStatus
1CL-KLF160.45Unverified
2RoBERTa + SubRegWeigh (K-means)F160.29Unverified
3BERT-CRF (Replicated in AdaSeq)F159.69Unverified
4RoBERTa-BiLSTM-contextF159.61Unverified
5BERT + RegLERF158.9Unverified
6TNER -xlm-r-largeF158.5Unverified
7HGNF157.41Unverified
8ASA + RoBERTaF157.3Unverified
9BERTweetF156.5Unverified
10MINERF154.86Unverified
#ModelMetricClaimedVerifiedStatus
1Ours: cross-sentence ALBF190.9Unverified
2GoLLIEF189.6Unverified
3PromptNER [RoBERTa-large]F188.26Unverified
4PIQNF187.42Unverified
5PromptNER [BERT-large]F187.21Unverified
6DiffusionNERF186.93Unverified
7BERT-MRCF186.88Unverified
8UniNER-7BF186.69Unverified
9Locate and LabelF186.67Unverified
10BoningKnifeF185.46Unverified
#ModelMetricClaimedVerifiedStatus
1KeBioLMF182Unverified
2BLSTM-CNN-Char (SparkNLP)F181.29Unverified
3Spark NLPF181.29Unverified
4BINDERF180.3Unverified
5BioMobileBERTF180.13Unverified
6BioLinkBERT (large)F180.06Unverified
7DistilBioBERTF179.97Unverified
8CompactBioBERTF179.88Unverified
9BioDistilBERTF179.1Unverified
10PubMedBERT uncasedF179.1Unverified
#ModelMetricClaimedVerifiedStatus
1BINDERF191.9Unverified
2ConNERF191.3Unverified
3CL-L2F190.99Unverified
4aimpedF190.95Unverified
5BertForTokenClassification (Spark NLP)F190.89Unverified
6BioLinkBERT (large)F190.22Unverified
7ELECTRAMedF190.03Unverified
8BLSTM-CNN-Char (SparkNLP)F189.73Unverified
9Spark NLPF189.73Unverified
10UniNER-7BF189.34Unverified