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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 1701–1729 of 1729 papers

TitleStatusHype
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual TransferCode0
Portuguese Named Entity Recognition using BERT-CRFCode0
CrossWeigh: Training Named Entity Tagger from Imperfect AnnotationsCode0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Merge and Label: A novel neural network architecture for nested NERCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity RecognitionCode0
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location RecognitionCode0
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed BanditCode0
Methods for Recognizing Nested TermsCode0
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial DatasetsCode0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity RecognitionCode0
SLIMER-IT: Zero-Shot NER on Italian LanguageCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
A Novel Approach for Auto-Formulation of Optimization ProblemsCode0
Mining experimental data from Materials Science literature with Large Language Models: an evaluation studyCode0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data ScarcityCode0
Probing Biomedical Embeddings from Language ModelsCode0
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
A Comparison between Named Entity Recognition Models in the Biomedical DomainCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity RecognitionCode0
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