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ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument
  Aggregation

ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation

21 June 2021
Debanjana Kar
S. Sarkar
Pawan Goyal
ArXiv (abs)PDFHTMLGithub

Papers citing "ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation"

14 / 14 papers shown
Title
Event Argument Extraction using Causal Knowledge Structures
Event Argument Extraction using Causal Knowledge Structures
Debanjana Kar
S. Sarkar
Pawan Goyal
17
8
0
02 May 2021
Biased TextRank: Unsupervised Graph-Based Content Extraction
Biased TextRank: Unsupervised Graph-Based Content Extraction
Ashkan Kazemi
Verónica Pérez-Rosas
Rada Mihalcea
126
30
0
02 Nov 2020
Graph Transformer Networks with Syntactic and Semantic Structures for
  Event Argument Extraction
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction
Amir Pouran Ben Veyseh
Tuan Ngo Nguyen
Thien Huu Nguyen
GNN
96
48
0
26 Oct 2020
SciREX: A Challenge Dataset for Document-Level Information Extraction
SciREX: A Challenge Dataset for Document-Level Information Extraction
Sarthak Jain
Madeleine van Zuylen
Hannaneh Hajishirzi
Iz Beltagy
72
163
0
01 May 2020
Multi-Sentence Argument Linking
Multi-Sentence Argument Linking
Seth Ebner
Patrick Xia
Ryan Culkin
Kyle Rawlins
Benjamin Van Durme
HAI
90
160
0
09 Nov 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
74
590
0
08 Sep 2019
Giveme5W1H: A Universal System for Extracting Main Events from News
  Articles
Giveme5W1H: A Universal System for Extracting Main Events from News Articles
Felix Hamborg
Corinna Breitinger
Bela Gipp
23
45
0
06 Sep 2019
Tale of tails using rule augmented sequence labeling for event
  extraction
Tale of tails using rule augmented sequence labeling for event extraction
Ayush Maheshwari
Hrishikesh Patel
N. Rathod
Ritesh Kumar
Ganesh Ramakrishnan
P. Bhattacharyya
32
6
0
19 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
677
24,541
0
26 Jul 2019
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial
  Event Extraction
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng
Wei Cao
Wenyuan Xu
Jiang Bian
59
167
0
16 Apr 2019
A General Framework for Information Extraction using Dynamic Span Graphs
A General Framework for Information Extraction using Dynamic Span Graphs
Yi Luan
David Wadden
Luheng He
A. Shah
Mari Ostendorf
Hannaneh Hajishirzi
57
317
0
05 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
163
2,985
0
26 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Active Learning with Partial Feedback
Active Learning with Partial Feedback
Peiyun Hu
Zachary Chase Lipton
Anima Anandkumar
Deva Ramanan
47
67
0
21 Feb 2018
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