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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 171–180 of 1729 papers

TitleStatusHype
Developing a Named Entity Recognition Dataset for TagalogCode1
calamanCy: A Tagalog Natural Language Processing ToolkitCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
Hero-Gang Neural Model For Named Entity RecognitionCode1
Chinese NER Using Lattice LSTMCode1
CHisIEC: An Information Extraction Corpus for Ancient Chinese HistoryCode1
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition DatasetCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
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