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 19512000 of 2874 papers

TitleStatusHype
Computing Word Classes Using Spectral Clustering0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials0
Building a Kannada POS Tagger Using Machine Learning and Neural Network ModelsCode0
What's in Your Embedding, And How It Predicts Task Performance0
Learning to Generate Word Representations using Subword Information0
Transfer Learning for Entity Recognition of Novel ClassesCode0
NLATool: an Application for Enhanced Deep Text UnderstandingCode0
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Sprucing up the trees -- Error detection in treebanks0
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System0
Contextual String Embeddings for Sequence LabelingCode0
Local String Transduction as Sequence Labeling0
An Empirical Study on Fine-Grained Named Entity Recognition0
IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 20180
Improving Neural Sequence Labelling using Additional Linguistic Information0
Clustering Prominent People and Organizations in Topic-Specific Text Corpora0
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large CorporaCode0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records0
Constructing a Word Similarity Graph from Vector based Word Representation for Named Entity Recognition0
Natural Language Processing for Information ExtractionCode0
Chinese Lexical Analysis with Deep Bi-GRU-CRF NetworkCode0
Named Entity Recognition for Hindi-English Code-Mixed Social Media TextCode0
Named-Entity Tagging and Domain adaptation for Better Customized Translation0
Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines0
Tackling Code-Switched NER: Participation of CMU0
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data0
Named Entity Recognition on Code-Switched Data Using Conditional Random Fields0
Code-Switched Named Entity Recognition with Embedding Attention0
Automatic Extraction of Entities and Relation from Legal Documents0
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimizationCode0
GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks0
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLPCode0
The University of Texas System Submission for the Code-Switching Workshop Shared Task 20180
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity0
Batch IS NOT Heavy: Learning Word Representations From All Samples0
DeepPavlov: Open-Source Library for Dialogue Systems0
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags0
A Named Entity Recognition Shootout for German0
Recognizing Complex Entity Mentions: A Review and Future Directions0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task0
Identification of Alias Links among Participants in Narratives0
Improving Topic Quality by Promoting Named Entities in Topic Modeling0
Learning How to Actively Learn: A Deep Imitation Learning ApproachCode0
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NERCode0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets0
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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