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Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

3 May 2022
Oscar Sainz
Itziar Gonzalez-Dios
Oier López de Lacalle
Bonan Min
Eneko Agirre
ArXivPDFHTML

Papers citing "Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning"

32 / 32 papers shown
Title
MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
Vlad-Andrei Negru
Robert Vacareanu
Camelia Lemnaru
Mihai Surdeanu
Rodica Potolea
89
0
0
13 Feb 2025
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
Paul Roit
Aviv Slobodkin
Eran Hirsch
Arie Cattan
Ayal Klein
Valentina Pyatkin
Ido Dagan
32
1
0
08 Aug 2024
Assessing the Performance of Chinese Open Source Large Language Models
  in Information Extraction Tasks
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
Yida Cai
Hao Sun
Hsiu-Yuan Huang
Yunfang Wu
27
1
0
04 Jun 2024
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
William Hogan
Jingbo Shang
13
0
0
31 May 2024
Asking and Answering Questions to Extract Event-Argument Structures
Asking and Answering Questions to Extract Event-Argument Structures
Md Nayem Uddin
Enfa Rose George
Eduardo Blanco
Steven Corman
20
3
0
25 Apr 2024
Event Extraction in Basque: Typologically motivated Cross-Lingual
  Transfer-Learning Analysis
Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis
Mikel Zubillaga
Oscar Sainz
A. Estarrona
Oier López de Lacalle
Eneko Agirre
46
2
0
09 Apr 2024
Generating Uncontextualized and Contextualized Questions for
  Document-Level Event Argument Extraction
Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
Md Nayem Uddin
Enfa Rose George
Eduardo Blanco
Steven Corman
27
2
0
07 Apr 2024
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot
  Learning Simultaneously in Classification
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification
Hanzi Xu
Muhao Chen
Lifu Huang
Slobodan Vučetić
Wenpeng Yin
BDL
VLM
25
1
0
06 Mar 2024
Improving Event Definition Following For Zero-Shot Event Detection
Improving Event Definition Following For Zero-Shot Event Detection
Zefan Cai
Po-Nien Kung
Ashima Suvarna
Mingyu Derek Ma
Hritik Bansal
Baobao Chang
P. Brantingham
Wei Wang
Nanyun Peng
16
7
0
05 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in
  Information Extraction
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Ziqian Zeng
38
1
0
28 Feb 2024
Textual Entailment for Effective Triple Validation in Object Prediction
Textual Entailment for Effective Triple Validation in Object Prediction
Andrés García-Silva
Cristian Berrío
José Manuél Gómez-Pérez
KELM
11
1
0
29 Jan 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in
  Event Extraction
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
Kuan-Hao Huang
I-Hung Hsu
Tanmay Parekh
Zhiyu Xie
Zixuan Zhang
Premkumar Natarajan
Kai-Wei Chang
Nanyun Peng
Heng Ji
19
16
0
16 Nov 2023
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Oscar Sainz
Iker García-Ferrero
Rodrigo Agerri
Oier López de Lacalle
German Rigau
Eneko Agirre
24
75
0
05 Oct 2023
The Devil is in the Details: On the Pitfalls of Event Extraction
  Evaluation
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Hao Peng
Xiaozhi Wang
Feng Yao
Kaisheng Zeng
Lei Hou
Juanzi Li
Zhiyuan Liu
Weixing Shen
19
18
0
12 Jun 2023
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text
  Data Generation with Large Language Models
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
Mingyu Derek Ma
Xiaoxu Wang
Po-Nien Kung
P. Brantingham
Nanyun Peng
Wei Wang
SyDa
15
4
0
24 May 2023
Leveraging Open Information Extraction for More Robust Domain Transfer
  of Event Trigger Detection
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
David Dukić
Kiril Gashteovski
Goran Glavavs
Jan vSnajder
8
0
0
23 May 2023
Large Language Model Instruction Following: A Survey of Progresses and
  Challenges
Large Language Model Instruction Following: A Survey of Progresses and Challenges
Renze Lou
Kai Zhang
Wenpeng Yin
ALM
LRM
21
19
0
18 Mar 2023
ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
Xiang Wei
Xingyu Cui
Ning Cheng
Xiaobin Wang
Xin Zhang
...
Jinan Xu
Yufeng Chen
Meishan Zhang
Yong-jia Jiang
Wenjuan Han
25
236
0
20 Feb 2023
What do Language Models know about word senses? Zero-Shot WSD with
  Language Models and Domain Inventories
What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
Oscar Sainz
Oier López de Lacalle
Eneko Agirre
German Rigau
17
6
0
07 Feb 2023
Universal Information Extraction as Unified Semantic Matching
Universal Information Extraction as Unified Semantic Matching
Jie Lou
Yaojie Lu
Dai Dai
Wei Jia
Hongyu Lin
Xianpei Han
Le Sun
Hua-Hong Wu
17
69
0
09 Jan 2023
Learning to Select from Multiple Options
Learning to Select from Multiple Options
Jiangshu Du
Wenpeng Yin
Congying Xia
Philip S. Yu
19
7
0
01 Dec 2022
OpenStance: Real-world Zero-shot Stance Detection
OpenStance: Real-world Zero-shot Stance Detection
Hanzi Xu
Slobodan Vučetić
Wenpeng Yin
14
19
0
25 Oct 2022
GENEVA: Benchmarking Generalizability for Event Argument Extraction with
  Hundreds of Event Types and Argument Roles
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles
Tanmay Parekh
I-Hung Hsu
Kuan-Hao Huang
Kai-Wei Chang
Nanyun Peng
38
15
0
25 May 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and
  Clusters
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
Tal Schuster
Sihao Chen
S. Buthpitiya
Alex Fabrikant
Donald Metzler
8
41
0
15 Apr 2022
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple
  Verbalizations
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
Oscar Sainz
Haoling Qiu
Oier López de Lacalle
Eneko Agirre
Bonan Min
SyDa
27
12
0
25 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language
  Models
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz
German Rigau
VLM
21
21
0
07 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 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
251
1,382
0
21 Jan 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
232
319
0
21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
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