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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 451–460 of 1729 papers

TitleStatusHype
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
Czech Historical Named Entity Corpus v 1.0—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
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