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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 1421–1430 of 1729 papers

TitleStatusHype
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling TasksCode0
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources—0
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionCode0
Neural Mention DetectionCode0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
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