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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 211–220 of 1729 papers

TitleStatusHype
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media—0
HistNERo: Historical Named Entity Recognition for the Romanian Language—0
Mix of Experts Language Model for Named Entity Recognition—0
Reading Order Independent Metrics for Information Extraction in Handwritten Documents—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual TransferCode0
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024—0
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