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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 1526–1550 of 1729 papers

TitleStatusHype
Recognizing Film Entities in Podcasts—0
A Byte-sized Approach to Named Entity RecognitionCode0
CollaboNet: collaboration of deep neural networks for biomedical named entity recognitionCode0
On the Strength of Character Language Models for Multilingual Named Entity Recognition—0
Learning Named Entity Tagger using Domain-Specific DictionaryCode0
Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
End-to-End Neural Entity LinkingCode0
Neural Named Entity Recognition from Subword Units—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Sequence Labeling: A Practical ApproachCode0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataCode0
Tackling Code-Switched NER: Participation of CMU—0
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs—0
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