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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 426–450 of 1729 papers

TitleStatusHype
h2oGPT: Democratizing Large Language ModelsCode6
Enhancing Low Resource NER Using Assisting Language And Transfer Learning—0
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
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed BanditCode0
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Examining risks of racial biases in NLP tools for child protective services—0
Machine Learning Approach for Cancer Entities Association and Classification—0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition—0
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across LanguagesCode0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts—0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal PractitionersCode0
PromptNER: Prompting For Named Entity Recognition—0
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