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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
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence TranslationCode0
Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsCode0
Large Language Models Struggle in Token-Level Clinical Named Entity RecognitionCode0
A Primal Dual Formulation For Deep Learning With ConstraintsCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
A Pragmatic Guide to Geoparsing EvaluationCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
CebuaNER: A New Baseline Cebuano Named Entity Recognition ModelCode0
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable PromptingCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019Code0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location RecognitionCode0
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity RecognitionCode0
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity RecognitionCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
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