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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 451–460 of 1729 papers

TitleStatusHype
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV DeliveryCode0
Multi-Grained Named Entity RecognitionCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
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