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Coreferential Reasoning Learning for Language Representation

Coreferential Reasoning Learning for Language Representation

15 April 2020
Deming Ye
Yankai Lin
Jiaju Du
Zhenghao Liu
Peng Li
Maosong Sun
Zhiyuan Liu
ArXivPDFHTML

Papers citing "Coreferential Reasoning Learning for Language Representation"

30 / 30 papers shown
Title
PromptRE: Weakly-Supervised Document-Level Relation Extraction via
  Prompting-Based Data Programming
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming
Chufan Gao
Xulin Fan
Jimeng Sun
Xuan Wang
29
4
0
13 Oct 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
Lea Demelius
Hanh Thi Hong Tran
Roman Kern
Georgeta Bordea
Andreas Trügler
Antoine Doucet
26
3
0
28 Sep 2023
LIQUID: A Framework for List Question Answering Dataset Generation
LIQUID: A Framework for List Question Answering Dataset Generation
Seongyun Lee
Hyunjae Kim
Jaewoo Kang
RALM
33
19
0
03 Feb 2023
Document-level Relation Extraction with Relation Correlations
Document-level Relation Extraction with Relation Correlations
Ridong Han
Tao Peng
Benyou Wang
Lu Liu
Xiang Wan
CVBM
18
4
0
20 Dec 2022
Relation-Specific Attentions over Entity Mentions for Enhanced
  Document-Level Relation Extraction
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
Jiaxin Yu
Deqing Yang
Shuyu Tian
16
26
0
28 May 2022
Commonsense and Named Entity Aware Knowledge Grounded Dialogue
  Generation
Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation
Deeksha Varshney
Akshara Prabhakar
Asif Ekbal
27
18
0
27 May 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU
  Benchmarks
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui
Daniel Hershcovich
Anders Søgaard
25
13
0
22 Apr 2022
NC-DRE: Leveraging Non-entity Clue Information for Document-level
  Relation Extraction
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction
Li Zhang
Yidong Cheng
11
2
0
01 Apr 2022
Document-Level Relation Extraction with Adaptive Focal Loss and
  Knowledge Distillation
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Qingyu Tan
Ruidan He
Lidong Bing
Hwee Tou Ng
24
97
0
21 Mar 2022
CorefDRE: Document-level Relation Extraction with coreference resolution
CorefDRE: Document-level Relation Extraction with coreference resolution
Zhongxuan Xue
Rongzhen Li
Qizhu Dai
Zhong Jiang
15
7
0
22 Feb 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge
  Base Population
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Ningyu Zhang
Xin Xu
Li Tao
Haiyang Yu
Hongbin Ye
...
Qiang Chen
Feiyu Xiong
Fei Huang
Guozhou Zheng
Huajun Chen
VLM
HAI
35
42
0
10 Jan 2022
QA-Align: Representing Cross-Text Content Overlap by Aligning
  Question-Answer Propositions
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Daniel Weiss
Paul Roit
Ayal Klein
Ori Ernst
Ido Dagan
28
18
0
26 Sep 2021
Coreference Resolution for the Biomedical Domain: A Survey
Coreference Resolution for the Biomedical Domain: A Survey
Pengcheng Lu
Massimo Poesio
26
15
0
25 Sep 2021
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level
  Relation Extraction
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Yuxin Xiao
Zecheng Zhang
Yuning Mao
Carl Yang
Jiawei Han
RALM
AI4TS
21
47
0
24 Sep 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna
Sebastian Riedel
Andreas Vlachos
21
61
0
25 Aug 2021
Eider: Empowering Document-level Relation Extraction with Efficient
  Evidence Extraction and Inference-stage Fusion
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
Yiqing Xie
Jiaming Shen
Sha Li
Yuning Mao
Jiawei Han
29
64
0
16 Jun 2021
Document-level Relation Extraction as Semantic Segmentation
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang
Xiang Chen
Xin Xie
Shumin Deng
Chuanqi Tan
Mosha Chen
Fei Huang
Luo Si
Huajun Chen
ViT
22
182
0
07 Jun 2021
REPT: Bridging Language Models and Machine Reading Comprehension via
  Retrieval-Based Pre-training
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
Fangkai Jiao
Yangyang Guo
Yilin Niu
Feng Ji
Feng-Lin Li
Liqiang Nie
LRM
26
12
0
10 May 2021
Entity Structure Within and Throughout: Modeling Mention Dependencies
  for Document-Level Relation Extraction
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Benfeng Xu
Quan Wang
Yajuan Lyu
Yong Zhu
Zhendong Mao
27
166
0
20 Feb 2021
Few-Shot Question Answering by Pretraining Span Selection
Few-Shot Question Answering by Pretraining Span Selection
Ori Ram
Yuval Kirstain
Jonathan Berant
Amir Globerson
Omer Levy
27
97
0
02 Jan 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained
  Language Models via Contrastive Learning
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin
Yankai Lin
Ryuichi Takanobu
Zhiyuan Liu
Peng Li
Heng Ji
Minlie Huang
Maosong Sun
Jie Zhou
55
125
0
30 Dec 2020
Document-Level Relation Extraction with Adaptive Thresholding and
  Localized Context Pooling
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Wenxuan Zhou
Kevin Huang
Tengyu Ma
Jing Huang
21
273
0
21 Oct 2020
Double Graph Based Reasoning for Document-level Relation Extraction
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng
Runxin Xu
Baobao Chang
Lei Li
26
223
0
29 Sep 2020
Global-to-Local Neural Networks for Document-Level Relation Extraction
Global-to-Local Neural Networks for Document-Level Relation Extraction
D. Wang
Wei Hu
E. Cao
Weijian Sun
NAI
18
118
0
22 Sep 2020
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
217
165
0
18 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
164
134
0
17 Sep 2019
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
231
778
0
17 Sep 2019
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
231
656
0
09 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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