InstructionNER: A Multi-Task Instruction-Based Generative Framework for
Few-shot NER

InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER

8 March 2022

Rumei Li

Weiran Xu

Papers citing "InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER"

6 / 6 papers shown

Title
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models Mihir Parmar Nisarg Patel Neeraj Varshney Mutsumi Nakamura Man Luo Santosh Mashetty Arindam Mitra Chitta Baral LRM ReLM ELM 38 24 0 23 Apr 2024
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task Jinxu Zhao Guanting Dong Yueyan Qiu Tingfeng Hui Xiaoshuai Song Daichi Guo Weiran Xu 31 1 0 22 Feb 2024
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling David Dukić Jan Šnajder 24 13 0 25 Jan 2024
BioTABQA: Instruction Learning for Biomedical Table Question Answering Man Luo S. Saxena Swaroop Mishra Mihir Parmar Chitta Baral LMTD 157 15 0 06 Jul 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,927 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,591 0 21 Jan 2020