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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 721–730 of 1729 papers

TitleStatusHype
DaNE: A Named Entity Resource for Danish—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System—0
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
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