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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 391–400 of 1729 papers

TitleStatusHype
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term RecognitionCode0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
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