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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 1671–1680 of 1729 papers

TitleStatusHype
Using Word Embeddings to Translate Named Entities—0
WTF-LOD - A New Resource for Large-Scale NER Evaluation—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Multi-prototype Chinese Character Embedding—0
Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level—0
Domain Adaptation for Named Entity Recognition Using CRFs—0
Modelling the Structure of a Protein Domain (N-terminal of XPB) Linked with Protein Synthesis, DNA Damage Repair, Rare Diseases, Cancer Therapeutics, and Tuberculosis—0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Multi-Task Cross-Lingual Sequence Tagging from Scratch—0
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning—0
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