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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 1171–1180 of 1729 papers

TitleStatusHype
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
Named Entity Popularity Determination using Ensemble Learning—0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER—0
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities—0
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP—0
Named Entity Recognition for Chinese biomedical patentsCode0
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition—0
Leveraging HTML in Free Text Web Named Entity Recognition—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Porous Lattice Transformer Encoder for Chinese NER—0
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