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

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Showing 751–800 of 2874 papers

TitleStatusHype
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets—0
Zero-shot cross-lingual transfer language selection using linguistic similarity—0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsCode0
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition—0
Adversarial Adaptation for French Named Entity RecognitionCode0
A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named EntitiesCode0
Language Models sounds the Death Knell of Knowledge Graphs—0
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques—0
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageCode0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages—0
Multi hash embeddings in spaCyCode0
Enriching Relation Extraction with OpenIE—0
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity—0
E-NER -- An Annotated Named Entity Recognition Corpus of Legal TextCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Multilingual Sequence-to-Sequence Models for Hebrew NLP—0
Context-aware Fine-tuning of Self-supervised Speech Models—0
VTCC-NLP at NL4Opt competition subtask 1: An Ensemble Pre-trained language models for Named Entity Recognition—0
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia—0
Building and Evaluating Universal Named-Entity Recognition English corpus—0
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student EnsembleCode0
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles—0
Structured information extraction from complex scientific text with fine-tuned large language models—0
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning—0
AUC Maximization for Low-Resource Named Entity Recognition—0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain CorporaCode0
GNN-SL: Sequence Labeling Based on Nearest Examples via GNNCode0
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
Few-Shot Nested Named Entity Recognition—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All—0
MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding—0
Finetuning BERT on Partially Annotated NER CorporaCode0
L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages—0
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
Prompting Language Models for Linguistic Structure—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding—0
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF—0
Active Learning with Tabular Language Models—0
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity RecognitionCode0
Prompt-based Text Entailment for Low-Resource Named Entity Recognition—0
MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance dataCode0
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All datasetsCoNLL 2003 (English)Ontonotes v5 (English)NCBI DiseaseWNUT 2017ACE 2005JNLPBABC5CDRGENIABC2GMBC5CDR-chemicalSLUECoNLL++

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACE + document-contextF194.6—Unverified
2LUKE 483MF194.3—Unverified
3Co-regularized LUKEF194.22—Unverified
4LUKE + SubRegWeigh (K-means)F194.2—Unverified
5ASP+T5-3BF194.1—Unverified
6FLERT XLM-RF194.09—Unverified
7PL-MarkerF194—Unverified
8CL-KLF193.85—Unverified
9XLNet-GCNF193.82—Unverified
10RoBERTa + SubRegWeigh (K-means)F193.81—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-MRC+DSCF192.07—Unverified
2PL-MarkerF191.9—Unverified
3Baseline + BSF191.74—Unverified
4Biaffine-NERF191.3—Unverified
5BERT-MRCF191.11—Unverified
6PIQNF190.96—Unverified
7HGNF190.92—Unverified
8Syn-LSTM + BERT (wo doc-context)F190.85—Unverified
9DiffusionNERF190.66—Unverified
10W2NERF190.5—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERTF189.71—Unverified
2SpanModel + SequenceLabelingModelF189.6—Unverified
3SciFive-BaseF189.39—Unverified
4BLSTM-CNN-Char (SparkNLP)F189.13—Unverified
5Spark NLPF189.13—Unverified
6KeBioLMF189.1—Unverified
7CL-KLF188.96—Unverified
8BioKMNER + BioBERTF188.77—Unverified
9BioLinkBERT (large)F188.76—Unverified
10CompactBioBERTF188.67—Unverified
#ModelMetricClaimedVerifiedStatus
1CL-KLF160.45—Unverified
2RoBERTa + SubRegWeigh (K-means)F160.29—Unverified
3BERT-CRF (Replicated in AdaSeq)F159.69—Unverified
4RoBERTa-BiLSTM-contextF159.61—Unverified
5BERT + RegLERF158.9—Unverified
6TNER -xlm-r-largeF158.5—Unverified
7HGNF157.41—Unverified
8ASA + RoBERTaF157.3—Unverified
9BERTweetF156.5—Unverified
10MINERF154.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours: cross-sentence ALBF190.9—Unverified
2GoLLIEF189.6—Unverified
3PromptNER [RoBERTa-large]F188.26—Unverified
4PIQNF187.42—Unverified
5PromptNER [BERT-large]F187.21—Unverified
6DiffusionNERF186.93—Unverified
7BERT-MRCF186.88—Unverified
8UniNER-7BF186.69—Unverified
9Locate and LabelF186.67—Unverified
10BoningKnifeF185.46—Unverified
#ModelMetricClaimedVerifiedStatus
1KeBioLMF182—Unverified
2BLSTM-CNN-Char (SparkNLP)F181.29—Unverified
3Spark NLPF181.29—Unverified
4BINDERF180.3—Unverified
5BioMobileBERTF180.13—Unverified
6BioLinkBERT (large)F180.06—Unverified
7DistilBioBERTF179.97—Unverified
8CompactBioBERTF179.88—Unverified
9BioDistilBERTF179.1—Unverified
10PubMedBERT uncasedF179.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BINDERF191.9—Unverified
2ConNERF191.3—Unverified
3CL-L2F190.99—Unverified
4aimpedF190.95—Unverified
5BertForTokenClassification (Spark NLP)F190.89—Unverified
6BioLinkBERT (large)F190.22—Unverified
7ELECTRAMedF190.03—Unverified
8Spark NLPF189.73—Unverified
9BLSTM-CNN-Char (SparkNLP)F189.73—Unverified
10UniNER-7BF189.34—Unverified