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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 641–650 of 1729 papers

TitleStatusHype
Multilingual Clinical NER: Translation or Cross-lingual Transfer?—0
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity RecognitionCode0
Skill over Scale: The Case for Medium, Domain-Specific Models for SE—0
Impact of translation on biomedical information extraction from real-life clinical notes—0
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes—0
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed BanditCode0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
Machine Learning Approach for Cancer Entities Association and Classification—0
Examining risks of racial biases in NLP tools for child protective services—0
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