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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 341–350 of 1729 papers

TitleStatusHype
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment AnalysisCode0
Few-shot classification in Named Entity Recognition TaskCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
A Boundary-aware Neural Model for Nested Named Entity RecognitionCode0
Federated Incremental Named Entity RecognitionCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
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