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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 851–875 of 1729 papers

TitleStatusHype
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents—0
Contextualization and Generalization in Entity and Relation Extraction—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term RecognitionCode0
Named Entity Recognition in Estonian 19th Century Parish Court RecordsCode0
NerKor+Cars-OntoNotes++Code0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
MNLP at FinCausal2022: Nested NER with a Generative Model—0
GGPONC 2.0 - The German Clinical Guideline Corpus for Oncology: Curation Workflow, Annotation Policy, Baseline NER TaggersCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Cross-Clinic De-Identification of Swedish Electronic Health Records: Nuances and Caveats—0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
The Bulgarian Event Corpus: Overview and Initial NER Experiments—0
Comparing Annotated Datasets for Named Entity Recognition in English LiteratureCode0
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition—0
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models—0
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning—0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
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