Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
Event Classification

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification

29 August 2021

Peiyi Wang

Runxin Xu

Zhifang Sui

Papers citing "Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification"

6 / 6 papers shown

Title
Extensively Matching for Few-shot Learning Event Detection Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 58 60 0 17 Jun 2020
MAVEN: A Massive General Domain Event Detection Dataset Xiaozhi Wang Ziqi Wang Xu Han Wangyi Jiang Rong Han Zhiyuan Liu Juan-Zi Li Peng Li Yankai Lin Jie Zhou 20 184 0 28 Apr 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 53 258 0 09 Nov 2019
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection Shumin Deng Ningyu Zhang Jiaojian Kang Yichi Zhang Wei Zhang Huajun Chen 45 133 0 25 Oct 2019
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 78 1,167 0 06 Mar 2018
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 276 3,187 0 02 Dec 2016

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