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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

Showing 12511300 of 1729 papers

TitleStatusHype
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER0
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases0
Building OCR/NER Test Collections0
SiNER: A Large Dataset for Sindhi Named Entity Recognition0
Fine-grained Named Entity Annotations for German Biographic Interviews0
Semantic Annotation for Improved Safety in Construction Work0
Creating a Dataset for Named Entity Recognition in the Archaeology Domain0
Where are we in Named Entity Recognition from Speech?0
DaNE: A Named Entity Resource for Danish0
Reconstructing NER Corpora: a Case Study on Bulgarian0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature0
Effort Estimation in Named Entity Tagging Tasks0
A Broad-coverage Corpus for Finnish Named Entity Recognition0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts0
Adapting Language Specific Components of Cross-Media Analysis Frameworks to Less-Resourced Languages: the Case of Amharic0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers0
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Partially-Typed NER Datasets Integration: Connecting Practice to Theory0
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification0
Named Entity Recognition without Labelled Data: A Weak Supervision ApproachCode1
Entity Candidate Network for Whole-Aware Named Entity Recognition0
Extending Multilingual BERT to Low-Resource Languages0
An Effective Transition-based Model for Discontinuous NERCode1
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
A Named Entity Based Approach to Model RecipesCode1
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology0
Towards Discourse Parsing-inspired Semantic Storytelling0
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
On Adversarial Examples for Biomedical NLP Tasks0
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity RecognitionCode1
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models0
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition0
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User ReviewsCode1
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion0
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security0
Give your Text Representation Models some Love: the Case for BasqueCode0
A Dataset of German Legal Documents for Named Entity RecognitionCode1
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision0
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream TasksCode0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning0
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi0
Beheshti-NER: Persian Named Entity Recognition Using BERTCode1
Parallel sequence tagging for concept recognitionCode1
Adaptive Name Entity Recognition under Highly Unbalanced Data0
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