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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 1321–1330 of 1729 papers

TitleStatusHype
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
Meta-Learning for Few-Shot Named Entity Recognition—0
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF—0
MIGBaseline at ROCLING 2022 Shared Task: Report on Named Entity Recognition Using Chinese Healthcare Datasets—0
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
Federated Incremental Named Entity RecognitionCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant AnnotationsCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
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