From Simple to Complex: A Progressive Framework for Document-level
Informative Argument Extraction

From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction

25 October 2023

Dongyan Zhao

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Papers citing "From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction"

12 / 12 papers shown

Title
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying Guanghui Wang Dexi Liu Jian-Yun Nie Qizhi Wan Rong Hu Xiping Liu Wanlong Liu Jiaming Liu 314 0 0 22 May 2024
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 77 5 0 13 Feb 2023
Retrieval-Augmented Generative Question Answering for Event Argument Extraction Xinya Du Heng Ji RALM 75 41 0 14 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models Yangyi Chen Lifan Yuan Ganqu Cui Zhiyuan Liu Heng Ji 143 51 0 31 Oct 2022
Dynamic Global Memory for Document-level Argument Extraction Xinya Du Sha Li Heng Ji 59 37 0 18 Sep 2022
Knowing More About Questions Can Help: Improving Calibration in Question Answering Shujian Zhang Chengyue Gong Eunsol Choi UQLM 87 59 0 02 Jun 2021
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning Rujun Han I-Hung Hsu Jiao Sun J. Baylón Qiang Ning Dan Roth Nanyun Peng 68 46 0 16 Apr 2021
Event Extraction by Answering (Almost) Natural Questions Xinya Du Claire Cardie 60 415 0 28 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 317 301 0 17 Mar 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,332 0 27 Aug 2019
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 2017