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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 1541–1550 of 1729 papers

TitleStatusHype
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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