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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 1251–1275 of 1729 papers

TitleStatusHype
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases—0
Building OCR/NER Test Collections—0
SiNER: A Large Dataset for Sindhi Named Entity Recognition—0
Fine-grained Named Entity Annotations for German Biographic Interviews—0
Semantic Annotation for Improved Safety in Construction Work—0
Creating a Dataset for Named Entity Recognition in the Archaeology Domain—0
Where are we in Named Entity Recognition from Speech?—0
DaNE: A Named Entity Resource for Danish—0
Reconstructing NER Corpora: a Case Study on Bulgarian—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
Effort Estimation in Named Entity Tagging Tasks—0
A Broad-coverage Corpus for Finnish Named Entity Recognition—0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts—0
Adapting Language Specific Components of Cross-Media Analysis Frameworks to Less-Resourced Languages: the Case of Amharic—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Partially-Typed NER Datasets Integration: Connecting Practice to Theory—0
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification—0
Named Entity Recognition without Labelled Data: A Weak Supervision ApproachCode1
Entity Candidate Network for Whole-Aware Named Entity Recognition—0
Extending Multilingual BERT to Low-Resource Languages—0
An Effective Transition-based Model for Discontinuous NERCode1
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