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

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

16 April 2020

Bill Yuchen Lin

Ryan Rene Moreno

Prashant Shiralkar

Xiang Ren

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

13 / 13 papers shown

Title
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 40 0 0 29 Oct 2023
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension Leilei Su Jian Chen Yifan Peng Cong Sun 39 2 0 12 Aug 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop Siting Liang Mareike Hartmann Daniel Sonntag 23 3 0 24 Jan 2023
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 40 9 0 30 Oct 2022
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 129 95 0 06 Oct 2022
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition Yuan Sui Fanyang Bu Ying Hu Wei Yan Li Zhang 56 9 0 12 Apr 2022
Few-shot Named Entity Recognition with Cloze Questions V. Gatta V. Moscato Marco Postiglione Giancarlo Sperlí 27 4 0 24 Nov 2021
Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger Jiang Wu 21 0 0 15 Sep 2021
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 44 2 0 10 Sep 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 35 172 0 14 Jun 2021
Local Additivity Based Data Augmentation for Semi-supervised NER Jiaao Chen Zhenghui Wang Ran Tian Zichao Yang Diyi Yang 19 57 0 04 Oct 2020
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 43 22 0 16 Apr 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015