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TriggerNER: Learning with Entity Triggers as Explanations for Named
  Entity Recognition
v1v2v3v4 (latest)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition

16 April 2020
Bill Yuchen Lin
Dong-Ho Lee
Minghan Shen
Ryan Rene Moreno
Xiao Huang
Prashant Shiralkar
Xiang Ren
ArXiv (abs)PDFHTML

Papers citing "TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition"

32 / 32 papers shown
Title
A Benchmark and Robustness Study of In-Context-Learning with Large
  Language Models in Music Entity Detection
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection
Simon Hachmeier
Robert Jäschke
115
1
0
16 Dec 2024
How much reliable is ChatGPT's prediction on Information Extraction
  under Input Perturbations?
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?
Ishani Mondal
Abhilasha Sancheti
93
1
0
07 Apr 2024
EROS: Entity-Driven Controlled Policy Document Summarization
EROS: Entity-Driven Controlled Policy Document Summarization
Joykirat Singh
Sehban Fazili
Rohan Jain
Md. Shad Akhtar
65
1
0
29 Feb 2024
Enhancing AI Research Paper Analysis: Methodology Component Extraction
  using Factored Transformer-based Sequence Modeling Approach
Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach
Madhusudan Ghosh
Debasis Ganguly
Partha Basuchowdhuri
S. Naskar
42
0
0
05 Nov 2023
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition
  and Relation Classification Methods
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
S. Alqaaidi
Elika Bozorgi
Afsaneh Shams
Krzysztof J. Kochut
DRL
77
0
0
29 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation
  Regularization
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Mohammad Reza Ghasemi Madani
Pasquale Minervini
91
4
0
22 Oct 2023
Do Language Models Learn about Legal Entity Types during Pretraining?
Do Language Models Learn about Legal Entity Types during Pretraining?
Claire Barale
Michael Rovatsos
Nehal Bhuta
ELM
49
2
0
19 Oct 2023
Demonstration-based learning for few-shot biomedical named entity
  recognition under machine reading comprehension
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension
Leilei Su
Jian Chen
Yifan Peng
Cong Sun
60
3
0
12 Aug 2023
A Human Subject Study of Named Entity Recognition (NER) in
  Conversational Music Recommendation Queries
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries
Elena V. Epure
Romain Hennequin
48
5
0
13 Mar 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot
  to Human-in-the-Loop
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Siting Liang
Mareike Hartmann
Daniel Sonntag
50
3
0
24 Jan 2023
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named
  Entity Recognition
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
Jiali Zeng
Yu Jiang
Yongjing Yin
Xu Wang
Binghuai Lin
Yunbo Cao
80
3
0
15 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
79
9
0
30 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
268
99
0
06 Oct 2022
Distilling Task-specific Logical Rules from Large Pre-trained Models
Distilling Task-specific Logical Rules from Large Pre-trained Models
Tao Chen
Luxin Liu
Xu Jia
Baoliang Cui
Haihong Tang
Siliang Tang
94
1
0
06 Oct 2022
ER-Test: Evaluating Explanation Regularization Methods for Language
  Models
ER-Test: Evaluating Explanation Regularization Methods for Language Models
Brihi Joshi
Aaron Chan
Ziyi Liu
Shaoliang Nie
Maziar Sanjabi
Hamed Firooz
Xiang Ren
AAML
83
6
0
25 May 2022
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named
  Entity Recognition
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition
Yuan Sui
Fanyang Bu
Ying Hu
Wei Yan
Li Zhang
88
9
0
12 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
Few-shot Named Entity Recognition with Cloze Questions
Few-shot Named Entity Recognition with Cloze Questions
V. Gatta
V. Moscato
Marco Postiglione
Giancarlo Sperlí
56
4
0
24 Nov 2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning
  for Low-resource NER
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee
Akshen Kadakia
Kangmin Tan
Mahak Agarwal
Xinyu Feng
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
127
87
0
16 Oct 2021
Low-Resource Named Entity Recognition Based on Multi-hop Dependency
  Trigger
Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger
Jiang Wu
52
0
0
15 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
90
42
0
12 Sep 2021
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with
  Auxiliary Trigger Extraction
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee
Ravi Kiran Selvam
Sheikh Muhammad Sarwar
Bill Yuchen Lin
Fred Morstatter
Jay Pujara
Elizabeth Boschee
James Allan
Xiang Ren
77
3
0
10 Sep 2021
Probing Pre-trained Auto-regressive Language Models for Named Entity
  Typing and Recognition
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition
Elena V. Epure
Romain Hennequin
49
14
0
26 Aug 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li
Jianxin Li
Shuaiyi Nie
Shiyao Cui
Hongzhi Zhang
...
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
Philip S. Yu
92
48
0
05 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
116
178
0
14 Jun 2021
SpanNER: Named Entity Re-/Recognition as Span Prediction
SpanNER: Named Entity Re-/Recognition as Span Prediction
Jinlan Fu
Xuanjing Huang
Pengfei Liu
75
101
0
01 Jun 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
Teach me how to Label: Labeling Functions from Natural Language with
  Text-to-text Transformers
Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers
Yannis Papanikolaou
22
0
0
18 Jan 2021
Interpretable Multi-dataset Evaluation for Named Entity Recognition
Interpretable Multi-dataset Evaluation for Named Entity Recognition
Jinlan Fu
Pengfei Liu
Graham Neubig
93
44
0
13 Nov 2020
Local Additivity Based Data Augmentation for Semi-supervised NER
Local Additivity Based Data Augmentation for Semi-supervised NER
Jiaao Chen
Zhenghui Wang
Ran Tian
Zichao Yang
Diyi Yang
92
58
0
04 Oct 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from
  Explanation
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
Dong-Ho Lee
Rahul Khanna
Bill Yuchen Lin
Jamin Chen
Seyeon Lee
Qinyuan Ye
Elizabeth Boschee
Leonardo Neves
Xiang Ren
113
22
0
16 Apr 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence
  Labeling
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Ouyu Lan
Xiao Huang
Bill Yuchen Lin
He Jiang
Liyuan Liu
Xiang Ren
SSL
60
30
0
09 Oct 2019
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