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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 301–310 of 1729 papers

TitleStatusHype
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers—0
Automated Testing and Improvement of Named Entity Recognition Systems—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction—0
A Broad-coverage Corpus for Finnish Named Entity Recognition—0
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques—0
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
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