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 10761100 of 2874 papers

TitleStatusHype
A Joint Model for Entity Analysis: Coreference, Typing, and Linking0
Chinese Hypernym-Hyponym Extraction from User Generated Categories0
Adaptive Name Entity Recognition under Highly Unbalanced Data0
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks0
Chinese Grammatical Error Diagnosis by Conditional Random Fields0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT0
Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet0
Fast High-Accuracy Part-of-Speech Tagging by Independent Classifiers0
A Joint Chinese Named Entity Recognition and Disambiguation System0
Arabic Named Entity Recognition: What Works and What's Next0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition0
Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction0
Feature-based Neural Language Model and Chinese Word Segmentation0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods0
Arabic Named Entity Recognition using Word Representations0
Cheap Translation for Cross-Lingual Named Entity Recognition0
Arabic Named Entity Recognition Using Transformer-based-CRF Model0
Cheap and easy entity evaluation0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network0
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries0
Arabic Named Entity Recognition Process using Transducer Cascade and Arabic Wikipedia0
A Japanese Chess Commentary Corpus0
Feature-Frequency--Adaptive On-line Training for Fast and Accurate Natural Language Processing0
Character-Level Feature Extraction with Densely Connected Networks0
Show:102550
← PrevPage 44 of 115Next →

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