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Named Entity Recognition

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TitleStatusHype
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities—0
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital HumanitiesCode0
Pooled Contextualized Embeddings for Named Entity Recognition—0
Better Modeling of Incomplete Annotations for Named Entity Recognition—0
應用記憶增強條件隨機場域與之深度學習及自動化詞彙特徵於中文命名實體辨識之研究 (Leveraging Memory Enhanced Conditional Random Fields with Gated CNN and Automatic BAPS Features for Chinese Named Entity Recognition)—0
NLP@UIT at SemEval-2019 Task 4: The Paparazzo Hyperpartisan News Detector—0
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short TextCode0
Audio De-identification - a New Entity Recognition Task—0
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling—0
Hierarchical Nested Named Entity Recognition—0
UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers—0
A General-Purpose Annotation Model for Knowledge Discovery: Case Study in Spanish Clinical Text—0
Medical Word Embeddings for Spanish: Development and Evaluation—0
Cross-lingual Transfer Learning for Japanese Named Entity Recognition—0
Quantization Loss Re-Learning Method—0
Learning Task-specific Representation for Novel Words in Sequence LabelingCode0
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy—0
Neural Metric Learning for Fast End-to-End Relation Extraction—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word SegmentationCode0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
Fine-Grained Named Entity Recognition using ELMo and WikidataCode0
Personalized sentence generation using generative adversarial networks with author-specific word usage—0
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