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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 2874 papers

TitleStatusHype
Olelo: A Question Answering Application for Biomedicine—0
On Adversarial Examples for Biomedical NLP Tasks—0
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text—0
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets—0
On Modeling Sense Relatedness in Multi-prototype Word Embedding—0
On Named Entity Recognition in Targeted Twitter Streams in Polish.—0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets—0
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages—0
On the Strength of Character Language Models for Multilingual Named Entity Recognition—0
On the Vector Representation of Utterances in Dialogue Context—0
On the Vietnamese Name Entity Recognition: A Deep Learning Method Approach—0
On TimeML-Compliant Temporal Expression Extraction in Turkish—0
Ontology-Based Information Extraction from Twitter—0
Ontology-based Technical Text Annotation—0
Ontology-Style Relation Annotation: A Case Study—0
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis—0
Open-Domain Name Error Detection using a Multi-Task RNN—0
Open Domain Targeted Sentiment—0
Open Named Entity Modeling from Embedding Distribution—0
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages—0
Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition—0
Opinion Extraction as A Structured Sentiment Analysis using Transformers—0
Optimizing annotation efforts to build reliable annotated corpora for training statistical models—0
Optimizing a PoS Tagset for Norwegian Dependency Parsing—0
O Reconhecimento de Entidades Nomeadas por meio de Conditional Random Fields para a L\' Portuguesa (Named Entity Recognition with Conditional Random Fields for the Portuguese Language) [in Portuguese]—0
O\`u en sommes-nous dans la reconnaissance des entit\'es nomm\'ees structur\'ees \`a partir de la parole ? (Where are we in Named Entity Recognition from speech ?)—0
Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition—0
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing—0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition—0
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021—0
Overview of the Ugglan Entity Discovery and Linking System—0
PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals—0
Painless Relation Extraction with Kindred—0
Parallelizing Word2Vec in Shared and Distributed Memory—0
Parser Adaptation for Social Media by Integrating Normalization—0
Partial Annotation Learning for Biomedical Entity Recognition—0
Partially-Typed NER Datasets Integration: Connecting Practice to Theory—0
Part of Speech Tagging for French Social Media Data—0
Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text—0
Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets—0
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention—0
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study—0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles—0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts—0
Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets—0
Personalized sentence generation using generative adversarial networks with author-specific word usage—0
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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