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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 971–980 of 1729 papers

TitleStatusHype
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
Text Segmentation using Named Entity Recognition and Co-reference Resolution in English and Greek Texts—0
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
The Bulgarian Event Corpus: Overview and Initial NER Experiments—0
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
The impact of simple feature engineering in multilingual medical NER—0
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition—0
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