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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 431–440 of 1729 papers

TitleStatusHype
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Cross-lingual alignments of ELMo contextual embeddings—0
Audio De-identification - a New Entity Recognition Task—0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment—0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study—0
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages—0
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
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