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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 751–760 of 1729 papers

TitleStatusHype
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning—0
Cross-Lingual News Event Correlation for Stock Market Trend Prediction—0
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages—0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study—0
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment—0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
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