named-entity recognition
PulseAugur coverage of named-entity recognition — every cluster mentioning named-entity recognition across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
-
On-device PII substitution pipeline uses locale-prompting to fix regurgitation
Researchers have developed an on-device pipeline for substituting Personally Identifiable Information (PII) with consistent, type-preserving fake values, aiming to maintain downstream text utility. The system uses a sma…
-
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…
-
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…
-
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…
-
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…
-
LLMs improve privacy-utility trade-off for Dutch clinical note de-identification
Researchers have conducted a comparative study on methods for de-identifying Dutch clinical notes to protect patient privacy while allowing for data reuse. The study evaluated traditional methods like differential priva…
-
Study compares BERT and T5 for NER; article touts paper reading for data scientists
A new arXiv paper details a study comparing BERT and T5 models for Named Entity Recognition (NER), analyzing their performance with different tag schemes and hyperparameters. The research aims to provide insights into c…