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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 981–990 of 1729 papers

TitleStatusHype
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
TMR: Evaluating NER Recall on Tough Mentions—0
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning—0
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