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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 801–850 of 1729 papers

TitleStatusHype
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Legal Entity Extraction using a Pointer Generator Network—0
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
An Empirical Study of Representation, Training and Decoding for Span-based Named Entity Recognition—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Fine-grained Location Extraction via Curriculum Learning—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Sentence-Level Resampling for Named Entity Recognition—0
Seq-GAN-BERT：Sequence Generative Adversarial Learning for Low-resource Name Entity Recognition—0
VEE-BERT: Accelerating BERT Inference for Named Entity Recognition via Vote Early Exiting—0
Generate it. A simple method for End-to-End Relation Extraction—0
EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER—0
BERN2: an advanced neural biomedical named entity recognition and normalization toolCode2
HuSpaCy: an industrial-strength Hungarian natural language processing toolkitCode1
Mining Adverse Drug Reactions from Unstructured Mediums at Scale—0
KIND: an Italian Multi-Domain Dataset for Named Entity RecognitionCode1
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Unified Named Entity Recognition as Word-Word Relation ClassificationCode1
Learning Rich Representation of Keyphrases from TextCode1
Named entity recognition architecture combining contextual and global featuresCode1
On the Use of External Data for Spoken Named Entity RecognitionCode0
ANEA: Automated (Named) Entity Annotation for German Domain-Specific TextsCode0
JABER and SABER: Junior and Senior Arabic BERt—0
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art DomainCode0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Named Entity-Factored Transformer for Proper Noun Translation—0
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition—0
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers—0
Few-shot Named Entity Recognition with Cloze Questions—0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development—0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
Explicit Modeling the Context for Chinese NER—0
Packed Levitated Marker for Entity and Relation Extraction—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
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