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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 741–750 of 1729 papers

TitleStatusHype
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
A Broad-coverage Corpus for Finnish Named Entity Recognition—0
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER—0
Cross Script Hindi English NER Corpus from Wikipedia—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning—0
Augmenty: A Python Library for Structured Text Augmentation—0
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