named-entity recognition
PulseAugur coverage of named-entity recognition — every cluster mentioning named-entity recognition across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
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New grammar comparison method boosts person name extraction accuracy
Researchers have developed a new method for Named Entity Recognition (NER) specifically for identifying person names. This technique involves comparing concordances from different local grammars to highlight differences…
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Hybrid AI method boosts low-resource Vietnamese NER with LLM data augmentation
Researchers have developed a novel hybrid neurosymbolic framework to improve Named Entity Recognition (NER) for low-resource languages, specifically focusing on Vietnamese. This method combines rule-based processing wit…
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Researchers create Naamah, a large synthetic Sanskrit NER dataset using LLMs
Researchers have developed Naamah, a synthetic dataset of over 100,000 Sanskrit sentences designed to improve Named Entity Recognition (NER) for classical Sanskrit literature. The dataset was generated by combining enti…
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LLMs show promise for recognizing entities in historical texts
Researchers have explored the use of large language models (LLMs) for Named Entity Recognition (NER) in historical texts, a task traditionally requiring extensive annotated data. Utilizing zero-shot and few-shot prompti…