ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.04564
  4. Cited By
Interpretability Analysis for Named Entity Recognition to Understand
  System Predictions and How They Can Improve
v1v2 (latest)

Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve

9 April 2020
Oshin Agarwal
Yinfei Yang
Byron C. Wallace
A. Nenkova
ArXiv (abs)PDFHTML

Papers citing "Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve"

18 / 18 papers shown
Title
LinkNER: Linking Local Named Entity Recognition Models to Large Language
  Models using Uncertainty
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty
Zhen Zhang
Yuhua Zhao
Hang Gao
Mengting Hu
94
22
0
16 Feb 2024
Entity Recognition from Colloquial Text
Entity Recognition from Colloquial Text
T. Babaian
Jennifer Xu
55
5
0
09 Jan 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination
  and Correlation Purification
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
Xiaojun Xue
Chunxia Zhang
Tianxiang Xu
Zhendong Niu
65
3
0
13 Dec 2023
Towards Robust and Generalizable Training: An Empirical Study of Noisy
  Slot Filling for Input Perturbations
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations
Jiachi Liu
Liwen Wang
Guanting Dong
Xiaoshuai Song
Zechen Wang
...
Shanglin Lei
Jinzheng Zhao
Keqing He
Bo Xiao
Weiran Xu
114
6
0
05 Oct 2023
Understanding the Effectiveness of Very Large Language Models on Dialog
  Evaluation
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
Jessica Huynh
Cathy Jiao
Prakhar Gupta
Shikib Mehri
Payal Bajaj
Vishrav Chaudhary
M. Eskénazi
ELMLM&MA
73
17
0
27 Jan 2023
Influence Functions for Sequence Tagging Models
Influence Functions for Sequence Tagging Models
Sarthak Jain
Varun Manjunatha
Byron C. Wallace
A. Nenkova
TDI
82
8
0
25 Oct 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for
  Perturbation-Robust Slot Filling
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Guanting Dong
Daichi Guo
Liwen Wang
Xuefeng Li
Zechen Wang
...
Hao Lei
Xinyue Cui
Yi Huang
Junlan Feng
Weiran Xu
70
12
0
24 Aug 2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an
  Information Theoretic Perspective
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
Xiao Wang
Shihan Dou
Li Xiong
Yicheng Zou
Qi Zhang
Tao Gui
Liang Qiao
Zhanzhan Cheng
Xuanjing Huang
71
27
0
09 Apr 2022
BTPK-based interpretable method for NER tasks based on Talmudic Public
  Announcement Logic
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic
Yulin Chen
Beishui Liao
Bruno Bentzen
Bo Yuan
Zelai Yao
Haixiao Chi
D. Gabbay
64
0
0
24 Jan 2022
Temporal Effects on Pre-trained Models for Language Processing Tasks
Temporal Effects on Pre-trained Models for Language Processing Tasks
Oshin Agarwal
A. Nenkova
VLM
102
57
0
24 Nov 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
90
42
0
12 Sep 2021
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via
  Pluggable Prompting
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
Xiang Chen
Lei Li
Shumin Deng
Chuanqi Tan
Changliang Xu
Fei Huang
Luo Si
Huajun Chen
Ningyu Zhang
VLM
126
71
0
31 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
124
44
0
24 Jul 2021
Larger-Context Tagging: When and Why Does It Work?
Larger-Context Tagging: When and Why Does It Work?
Jinlan Fu
Liangjing Feng
Qi Zhang
Xuanjing Huang
Pengfei Liu
57
5
0
09 Apr 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to
  Novel Entities?
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?
Hyunjae Kim
Jaewoo Kang
AI4CE
146
21
0
01 Jan 2021
Unsupervised Data Augmentation with Naive Augmentation and without
  Unlabeled Data
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
David Lowell
Brian Howard
Zachary Chase Lipton
Byron C. Wallace
124
24
0
22 Oct 2020
Example-Based Named Entity Recognition
Example-Based Named Entity Recognition
Morteza Ziyadi
Yuting Sun
Abhishek Goswami
Jade Huang
Weizhu Chen
77
33
0
24 Aug 2020
FLAT: Chinese NER Using Flat-Lattice Transformer
FLAT: Chinese NER Using Flat-Lattice Transformer
Xiaonan Li
Hang Yan
Xipeng Qiu
Xuanjing Huang
72
400
0
24 Apr 2020
1