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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 911–920 of 1729 papers

TitleStatusHype
Named Entity Recognition and Classification on Historical Documents: A SurveyCode1
reproducing "ner and pos when nothing is capitalized"Code0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
Context-NER : Contextual Phrase Generation at ScaleCode1
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer EncodersCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition ModelsCode1
Clinical Trial Information Extraction with BERT—0
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