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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 811–820 of 1729 papers

TitleStatusHype
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Razmecheno: Named Entity Recognition from Digital Archive of Diaries “Prozhito”—0
UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling—0
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition—0
NEAR: Named Entity and Attribute Recognition of clinical concepts—0
Conversion of Legal Agreements into Smart Legal Contracts using NLP—0
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes—0
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages—0
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence LabelingCode0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
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