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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
Building Low-Resource NER Models Using Non-Speaker Annotation—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition—0
Extending Multilingual BERT to Low-Resource Languages—0
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources—0
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts—0
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer—0
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