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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 761–770 of 1729 papers

TitleStatusHype
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
Annotating and normalizing biomedical NEs with limited knowledge—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
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