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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 1111–1120 of 1729 papers

TitleStatusHype
Named Entity Popularity Determination using Ensemble Learning—0
The WEAVE Corpus: Annotating Synthetic Chemical Procedures in Patents with Chemical Named EntitiesCode0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition—0
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition—0
Porous Lattice Transformer Encoder for Chinese NER—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Named Entity Recognition for Chinese biomedical patentsCode0
Leveraging HTML in Free Text Web Named Entity Recognition—0
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