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Robust Few-Shot Named Entity Recognition with Boundary Discrimination
  and Correlation Purification

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification

13 December 2023
Xiaojun Xue
Chunxia Zhang
Tianxiang Xu
Zhendong Niu
ArXivPDFHTML

Papers citing "Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification"

13 / 13 papers shown
Title
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
Xin Wang
Ling Feng
Huijun Zhang
Lei Cao
Kaisheng Zeng
Qi Li
Yang Ding
Yi Dai
David A. Clifton
83
0
0
03 May 2025
An Enhanced Span-based Decomposition Method for Few-Shot Sequence
  Labeling
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
Peiyi Wang
Runxin Xu
Tianyu Liu
Qingyu Zhou
Yunbo Cao
Baobao Chang
Zhifang Sui
81
60
0
27 Sep 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating
  the Robustness of Named Entity Recognition Models
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
Bill Yuchen Lin
Wenyang Gao
Jun Yan
Ryan Rene Moreno
Xiang Ren
AAML
76
42
0
12 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against
  Adversarial Word Substitution
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
41
74
0
29 Aug 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu
Luheng He
Yuan Zhang
Xinya Du
Panupong Pasupat
Qi Li
VLM
53
54
0
12 Apr 2021
Interpretability Analysis for Named Entity Recognition to Understand
  System Predictions and How They Can Improve
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Oshin Agarwal
Yinfei Yang
Byron C. Wallace
A. Nenkova
31
37
0
09 Apr 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
258
442
0
25 Sep 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
64
273
0
16 May 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
89
1,836
0
06 May 2019
Few-shot classification in Named Entity Recognition Task
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler
V. Logacheva
M. Kretov
49
199
0
14 Dec 2018
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
347
7,316
0
13 Jun 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
219
4,008
0
04 Mar 2016
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
175
1,580
0
09 Mar 2015
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