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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 771–780 of 1729 papers

TitleStatusHype
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts—0
German BERT Model for Legal Named Entity Recognition—0
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues—0
Annotating and normalizing biomedical NEs with limited knowledge—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges—0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction—0
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
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