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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 581–590 of 1729 papers

TitleStatusHype
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based ApproachCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Better Sampling of Negatives for Distantly Supervised Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
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