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A Multi-Format Transfer Learning Model for Event Argument Extraction via
  Variational Information Bottleneck

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck

27 August 2022
Jie Zhou
Qi Zhang
Qin Chen
Liang He
Xuanjing Huang
ArXivPDFHTML

Papers citing "A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck"

21 / 21 papers shown
Title
Enhancing Event-Level Sentiment Analysis with Structured Arguments
Enhancing Event-Level Sentiment Analysis with Structured Arguments
Qi Zhang
Jie Zhou
Qin Chen
Qinchun Bai
Liangbo He
58
7
0
31 May 2022
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument
  Extraction
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
Jiaju Lin
Qin Chen
Jie Zhou
Jian Jin
Liangye He
37
23
0
01 May 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event
  Argument Extraction
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
Yubo Ma
Zehao Wang
Yixin Cao
Mukai Li
Meiqi Chen
Kunze Wang
Jing Shao
65
132
0
24 Feb 2022
Graph Structure Learning with Variational Information Bottleneck
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun
Jianxin Li
Hao Peng
Hongzhi Zhang
Xingcheng Fu
Cheng Ji
Philip S. Yu
62
160
0
16 Dec 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
167
3,934
0
28 Jul 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end
  Event Extraction
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
Yaojie Lu
Hongyu Lin
Jin Xu
Xianpei Han
Jialong Tang
Annan Li
Le Sun
M. Liao
Shaoyi Chen
39
277
0
17 Jun 2021
Variational Information Bottleneck for Effective Low-Resource
  Fine-Tuning
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
DRL
43
73
0
10 Jun 2021
Document-Level Event Argument Extraction by Conditional Generation
Document-Level Event Argument Extraction by Conditional Generation
Sha Li
Heng Ji
Jiawei Han
48
297
0
13 Apr 2021
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event
  Extraction
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
Rui Feng
Jie Yuan
Chao Zhang
36
21
0
21 Oct 2020
Event Extraction by Answering (Almost) Natural Questions
Event Extraction by Answering (Almost) Natural Questions
Xinya Du
Claire Cardie
51
410
0
28 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
249
10,591
0
17 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
310
1,606
0
21 Jan 2020
Reading the Manual: Event Extraction as Definition Comprehension
Reading the Manual: Event Extraction as Definition Comprehension
Yunmo Chen
Tongfei Chen
Seth Ebner
Aaron Steven White
Benjamin Van Durme
37
63
0
03 Dec 2019
Multi-Sentence Argument Linking
Multi-Sentence Argument Linking
Seth Ebner
Patrick Xia
Ryan Culkin
Kyle Rawlins
Benjamin Van Durme
HAI
60
159
0
09 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
163
10,720
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
328
19,824
0
23 Oct 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck
Specializing Word Embeddings (for Parsing) by Information Bottleneck
Xiang Lisa Li
Jason Eisner
52
66
0
01 Oct 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using
  the Information Bottleneck Principle
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
Peter West
Ari Holtzman
Jan Buys
Yejin Choi
SSL
53
60
0
16 Sep 2019
Entity, Relation, and Event Extraction with Contextualized Span
  Representations
Entity, Relation, and Event Extraction with Contextualized Span Representations
David Wadden
Ulme Wennberg
Yi Luan
Hannaneh Hajishirzi
57
580
0
08 Sep 2019
Zero-Shot Transfer Learning for Event Extraction
Zero-Shot Transfer Learning for Event Extraction
Lifu Huang
Heng Ji
Kyunghyun Cho
Clare R. Voss
47
203
0
04 Jul 2017
Adversarial Multi-task Learning for Text Classification
Adversarial Multi-task Learning for Text Classification
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
103
609
0
19 Apr 2017
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