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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

Showing 13811390 of 1729 papers

TitleStatusHype
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Substitute Based SCODE Word Embeddings in Supervised NLP TasksCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Massively Multilingual Transfer for NERCode0
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific ScenariosCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NERCode0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource LanguagesCode0
Gated Task Interaction Framework for Multi-task Sequence TaggingCode0
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