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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 1501–1510 of 1729 papers

TitleStatusHype
Dynamic Transfer Learning for Named Entity Recognition—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study—0
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems—0
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Scalable graph-based individual named entity identification—0
Neural sequence labeling for Vietnamese POS Tagging and NER—0
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF—0
Neural CRF transducers for sequence labeling—0
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