How SpanProto Boosts Few-Shot NER Accuracy with a Two-Stage Span Approach

SpanProto, a two‑stage span‑based prototypical network, dramatically improves few‑shot named entity recognition by extracting candidate spans with a global boundary matrix and classifying them via prototypical and margin learning, achieving notable gains on the Few‑NERD benchmark with minimal labeled data.

EMNLP 2022NLPnamed entity recognition

0 likes · 8 min read

How SpanProto Boosts Few-Shot NER Accuracy with a Two-Stage Span Approach

Alibaba Cloud Big Data AI Platform

Dec 7, 2022 · Artificial Intelligence

Alibaba Cloud PAI’s Few-Shot NLP Breakthroughs at EMNLP 2022

At EMNLP 2022, Alibaba Cloud’s PAI platform showcased three pioneering few-shot NLP papers—KECP, SpanProto, and UPT—demonstrating advanced prompt-tuning techniques, knowledge-enhanced models, and a unified learning paradigm that push the boundaries of low-resource language understanding.

Alibaba CloudEMNLP 2022natural language processing

0 likes · 8 min read

Alibaba Cloud PAI’s Few-Shot NLP Breakthroughs at EMNLP 2022