AI RESEARCH
Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
arXiv CS.CL
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ArXi:2604.20447v1 Announce Type: new Named Entity Recognition (NER) is a key component in industrial information extraction pipelines, where systems must satisfy strict latency and throughput constraints in addition to strong accuracy. State-of-the-art NER accuracy is often achieved by span-based frameworks, which construct span representations from token encodings and classify candidate spans.