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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 261–270 of 1729 papers

TitleStatusHype
Computationally Efficient NER Taggers with Combined Embeddings and Constrained DecodingCode1
An Empirical Study on Fine-Grained Named Entity Recognition—0
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
BERTaú: Itaú BERT for digital customer service—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
BENNERD: A Neural Named Entity Linking System for COVID-19—0
An Empirical Study of Representation, Training and Decoding for Span-based Named Entity Recognition—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
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