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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 1711–1720 of 1729 papers

TitleStatusHype
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial DatasetsCode0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity RecognitionCode0
SLIMER-IT: Zero-Shot NER on Italian LanguageCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
A Novel Approach for Auto-Formulation of Optimization ProblemsCode0
Mining experimental data from Materials Science literature with Large Language Models: an evaluation studyCode0
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