Abstract: Named Entity Recognition is a fundamental task in information extraction, which locates and classifies defined named entities in unstructured text. Chinese NER is more difficult than English ...
This repository contains the codes for the paper "Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification" (AAAI 2024). Few-shot named entity recognition ...
This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...
Abstract: Few-shot Named Entity Recognition (NER) systems are designed to identify new categories of entities with a limited number of labeled examples. A major challenge encountered by these systems ...
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