v1v2v3 (latest)

Template-free Prompt Tuning for Few-shot NER

28 September 2021

Xuanjing Huang

Papers citing "Template-free Prompt Tuning for Few-shot NER"

22 / 22 papers shown

Title
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering Jan Hofmann Cornelia Sindermann Roman Klinger 109 0 0 06 Sep 2024
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition Meihan Tong Shuai Wang Bin Xu Yixin Cao Minghui Liu Lei Hou Juan-Zi Li 85 53 0 29 Jun 2021
Template-Based Named Entity Recognition Using BART Leyang Cui Yu Wu Jian Liu Sen Yang Yue Zhang 88 353 0 03 Jun 2021
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 102 526 0 24 May 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset Ning Ding Guangwei Xu Yulin Chen Xiaobin Wang Xu Han Pengjun Xie Haitao Zheng Zhiyuan Liu 78 234 0 16 May 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 168 1,179 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 248 4,298 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 402 1,971 0 31 Dec 2020
Few-Shot Named Entity Recognition: A Comprehensive Study Jiaxin Huang Chunyuan Li K. Subudhi Damien Jose S. Balakrishnan Weizhu Chen Baolin Peng Jianfeng Gao Jiawei Han 72 80 0 29 Dec 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 130 974 0 15 Sep 2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems Andrea Madotto Zihan Liu Zhaojiang Lin Pascale Fung 96 59 0 14 Aug 2020
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision Chen Liang Yue Yu Haoming Jiang Siawpeng Er Ruijia Wang T. Zhao Chao Zhang OffRL 60 239 0 28 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 841 42,332 0 28 May 2020
How Context Affects Language Models' Factual Predictions Fabio Petroni Patrick Lewis Aleksandra Piktus Tim Rocktaschel Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM 59 239 0 10 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,617 0 21 Jan 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 138 1,409 0 28 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 263 10,848 0 29 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 674 24,528 0 26 Jul 2019
Few-shot classification in Named Entity Recognition Task Alexander Fritzler V. Logacheva M. Kretov 63 199 0 14 Dec 2018
Few-shot Learning for Named Entity Recognition in Medical Text Maximilian Hofer Andrey Kormilitzin Paul W. Goldberg A. Nevado-Holgado 60 65 0 13 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017