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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 951–960 of 1729 papers

TitleStatusHype
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
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
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