Information Extraction Literature

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This page categorizes the literature by the Published Venue.

Outline

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Hyperlink

• [Overview] -- Homepage
• [All] [NLP] [CV] -- Summary
• [All] [NLP] [CV] -- Application
• [All] [NLP] [CV] -- Approach
• [All] [NLP] [CV] -- Author
• [All] [NLP] [CV] -- Backbone Model
• [All] [NLP] [CV] -- Dataset
• [All] [NLP] [CV] -- Metrics
• [All] [NLP] [CV] -- Research Questions
• [All] [NLP] [CV] -- Setting
• [All] [NLP] [CV] -- Learning Paradigm
• [All] [NLP] [CV] -- Published Time
• [All] [NLP] [CV] -- Resource Type
• [All] [NLP] [CV] -- Published Venue

ACL

• TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories ,
  by Karamanolakis, Giannis and Ma, Jun and Dong, Xin Luna [bib]
  
  

  karamanolakis-etal-2020-txtract

• ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages ,
  by Lockard, Colin and Shiralkar, Prashant and Dong, Xin Luna and Hajishirzi, Hannaneh [bib]
  
  

  lockard-etal-2020-zeroshotceres

• Exploiting the Syntax-Model Consistency for Neural Relation Extraction ,
  by Pouran Ben Veyseh, Amir and Dernoncourt, Franck and Dou, Dejing and Nguyen, Thien Huu [bib]
  
  

  pouran-ben-veyseh-etal-2020-exploiting

• A Joint Neural Model for Information Extraction with Global Features ,
  by Lin, Ying and Ji, Heng and Huang, Fei and Wu, Lingfei [bib]
  
  

  lin-etal-2020-joint

• SciREX: A Challenge Dataset for Document-Level Information Extraction ,
  by Jain, Sarthak and van Zuylen, Madeleine and Hajishirzi, Hannaneh and Beltagy, Iz [bib]
  
  

  jain-etal-2020-scirex

• Revisiting Unsupervised Relation Extraction ,
  by Tran, Thy Thy and Le, Phong and Ananiadou, Sophia [bib]
  
  

  tran-etal-2020-revisiting

• Relation Extraction with Explanation ,
  by Shahbazi, Hamed and Fern, Xiaoli and Ghaeini, Reza and Tadepalli, Prasad [bib]
  
  

  shahbazi-etal-2020-relation

• Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ,
  by Chen, Daoyuan and Li, Yaliang and Lei, Kai and Shen, Ying [bib]
  
  

  chen-etal-2020-relabel

• IMoJIE: Iterative Memory-Based Joint Open Information Extraction ,
  by Kolluru, Keshav and Aggarwal, Samarth and Rathore, Vipul and {Mausam} and Chakrabarti, Soumen [bib]
  
  

  kolluru-etal-2020-imojie

• Dialogue-Based Relation Extraction ,
  by Yu, Dian and Sun, Kai and Cardie, Claire and Yu, Dong [bib]
  
  

  yu-etal-2020-dialogue

• Cross-media Structured Common Space for Multimedia Event Extraction ,
  by Li, Manling and Zareian, Alireza and Zeng, Qi and Whitehead, Spencer and Lu, Di and Ji, Heng and Chang, Shih-Fu [bib]
  
  

  li-etal-2020-cross

• TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ,
  by Alt, Christoph and Gabryszak, Aleksandra and Hennig, Leonhard [bib]
  
  

  alt-etal-2020-tacred

• Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction ,
  by Alt, Christoph and Gabryszak, Aleksandra and Hennig, Leonhard [bib]
  
  

  alt-etal-2020-probing

• Named Entity Recognition without Labelled Data: A Weak Supervision Approach ,
  by Lison, Pierre and Barnes, Jeremy and Hubin, Aliaksandr and Touileb, Samia [bib]
  
  

  lison-etal-2020-named

• In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts ,
  by Kruiper, Ruben and Vincent, Julian and Chen-Burger, Jessica and Desmulliez, Marc and Konstas, Ioannis [bib]
  
  

  kruiper-etal-2020-laymans

• A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ,
  by Wei, Zhepei and Su, Jianlin and Wang, Yue and Tian, Yuan and Chang, Yi [bib]
  
  

  wei-etal-2020-novel

• Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding ,
  by Xinya Du and Claire Cardie [bib]
  
  

  DuC20

• Multi-Sentence Argument Linking ,
  by Seth Ebner and Patrick Xia and Ryan Culkin and Kyle Rawlins and Benjamin Van Durme [bib]
  
  

  EbnerXCRD20

• Reasoning with Latent Structure Refinement for Document-Level Relation Extraction ,
  by Guoshun Nan and Zhijiang Guo and Ivan Sekulic and Wei Lu [bib]
  
  

  NanGSL20

• A Two-Step Approach for Implicit Event Argument Detection ,
  by Zhisong Zhang and Xiang Kong and Zhengzhong Liu and Xuezhe Ma and Eduard H. Hovy [bib]
  
  

  ZhangKLMH20

• DocRED: A Large-Scale Document-Level Relation Extraction Dataset ,
  by Yao, Yuan and Ye, Deming and Li, Peng and Han, Xu and Lin, Yankai and Liu, Zhenghao and Liu, Zhiyuan and Huang, Lixin and Zhou, Jie and Sun, Maosong [bib]
  
  

  yao-etal-2019-docred

EMNLP

• MAVEN: A Massive General Domain Event Detection Dataset ,
  by Wang, Xiaozhi and Wang, Ziqi and Han, Xu and Jiang, Wangyi and Han, Rong and Liu, Zhiyuan and Li, Juanzi and Li, Peng and Lin, Yankai and Zhou, Jie [bib]
  
  

  wang-etal-2020-maven

• Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning ,
  by Liu, Ye and Zhang, Sheng and Song, Rui and Feng, Suo and Xiao, Yanghua [bib]
  
  

  liu-etal-2020-knowledge

• Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction ,
  by Hohenecker, Patrick and Mtumbuka, Frank and Kocijan, Vid and Lukasiewicz, Thomas [bib]
  
  

  hohenecker-etal-2020-systematic

• Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification ,
  by Subramanian, Shyam and Lee, Kyumin [bib]
  
  

  subramanian-lee-2020-hierarchical

• MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge ,
  by Khosla, Sopan and Vashishth, Shikhar and Lehman, Jill Fain and Rose, Carolyn [bib]
  
  

  khosla-etal-2020-medfilter

• Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction ,
  by Han, Rujun and Zhou, Yichao and Peng, Nanyun [bib]
  
  

  han-etal-2020-domain

• OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction ,
  by Kolluru, Keshav and Adlakha, Vaibhav and Aggarwal, Samarth and {Mausam} and Chakrabarti, Soumen [bib]
  
  

  kolluru-etal-2020-openie6

• Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations ,
  by Sun, Kai and Zhang, Richong and Mensah, Samuel and Mao, Yongyi and Liu, Xudong [bib]
  
  

  sun-etal-2020-recurrent

• Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data ,
  by Rosenman, Shachar and Jacovi, Alon and Goldberg, Yoav [bib]
  
  

  rosenman-etal-2020-exposing

• Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! ,
  by Taill{'e}, Bruno and Guigue, Vincent and Scoutheeten, Geoffrey and Gallinari, Patrick [bib]
  
  

  taille-etal-2020-lets

• Denoising Relation Extraction from Document-level Distant Supervision ,
  by Xiao, Chaojun and Yao, Yuan and Xie, Ruobing and Han, Xu and Liu, Zhiyuan and Sun, Maosong and Lin, Fen and Lin, Leyu [bib]
  
  

  xiao-etal-2020-denoising

• SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction ,
  by Hu, Xuming and Wen, Lijie and Xu, Yusong and Zhang, Chenwei and Yu, Philip [bib]
  
  

  hu-etal-2020-selfore

• Learning from Context or Names? An Empirical Study on Neural Relation Extraction ,
  by Peng, Hao and Gao, Tianyu and Han, Xu and Lin, Yankai and Li, Peng and Liu, Zhiyuan and Sun, Maosong and Zhou, Jie [bib]
  
  

  peng-etal-2020-learning

• An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction ,
  by Paranjape, Bhargavi and Joshi, Mandar and Thickstun, John and Hajishirzi, Hannaneh and Zettlemoyer, Luke [bib]
  
  

  paranjape-etal-2020-information

• Pre-training Entity Relation Encoder with Intra-span and Inter-span Information ,
  by Wang, Yijun and Sun, Changzhi and Wu, Yuanbin and Yan, Junchi and Gao, Peng and Xie, Guotong [bib]
  
  

  wang-etal-2020-pre

• Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders ,
  by Wang, Jue and Lu, Wei [bib]
  
  

  wang-lu-2020-two

• Event Extraction as Machine Reading Comprehension ,
  by Liu, Jian and Chen, Yubo and Liu, Kang and Bi, Wei and Liu, Xiaojiang [bib]
  
  

  liu-etal-2020-event

• Joint Constrained Learning for Event-Event Relation Extraction ,
  by Wang, Haoyu and Chen, Muhao and Zhang, Hongming and Roth, Dan [bib]
  
  

  wang-etal-2020-joint

• Event Extraction by Answering (Almost) Natural Questions ,
  by Du, Xinya and Cardie, Claire [bib]
  
  

  du-cardie-2020-event

• Coreferential Reasoning Learning for Language Representation ,
  by Deming Ye and Yankai Lin and Jiaju Du and Zhenghao Liu and Peng Li and Maosong Sun and Zhiyuan Liu [bib]
  
  

  YeLDLLSL20

• Double Graph Based Reasoning for Document-level Relation Extraction ,
  by Shuang Zeng and Runxin Xu and Baobao Chang and Lei Li [bib]
  
  

  ZengXCL20

• Global-to-Local Neural Networks for Document-Level Relation Extraction ,
  by Difeng Wang and Wei Hu and Ermei Cao and Weijian Sun [bib]
  
  

  WangHCS20

• Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs ,
  by Fenia Christopoulou and Makoto Miwa and Sophia Ananiadou [bib]
  
  

  ChristopoulouMA19

NAACL

• Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors ,
  by Christopoulou, Fenia and Miwa, Makoto and Ananiadou, Sophia [bib]
  
  

  christopoulou-etal-2021-distantly

• A Frustratingly Easy Approach for Entity and Relation Extraction ,
  by Zhong, Zexuan and Chen, Danqi [bib]
  
  

  zhong-chen-2021-frustratingly

• ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning ,
  by Chen, Chih-Yao and Li, Cheng-Te [bib]
  
  

  chen-li-2021-zs

• Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network ,
  by Chen, Yubo and Zhang, Yunqi and Hu, Changran and Huang, Yongfeng [bib]
  
  

  chen-etal-2021-jointly

• Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks ,
  by Nguyen, Minh Van and Lai, Viet and Nguyen, Thien Huu [bib]
  
  

  nguyen-etal-2021-cross

• Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction ,
  by Zhang, Zixuan and Ji, Heng [bib]
  
  

  zhang-ji-2021-abstract

• Open Hierarchical Relation Extraction ,
  by Zhang, Kai and Yao, Yuan and Xie, Ruobing and Han, Xu and Liu, Zhiyuan and Lin, Fen and Lin, Leyu and Sun, Maosong [bib]
  
  

  zhang-etal-2021-open

• Document-Level Event Argument Extraction by Conditional Generation ,
  by Sha Li and Heng Ji and Jiawei Han [bib]
  
  

  LiJH21

COLING

• Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction ,
  by Huiwei Zhou and Yibin Xu and Weihong Yao and Zhe Liu and Chengkun Lang and Haibin Jiang [bib]
  
  

  ZhouXYLLJ20

• Document-level Relation Extraction with Dual-tier Heterogeneous Graph ,
  by Zhenyu Zhang and Bowen Yu and Xiaobo Shu and Tingwen Liu and Hengzhu Tang and Yubin Wang and Li Guo [bib]
  
  

  ZhangYSLTWG20

• Graph Enhanced Dual Attention Network for Document-Level Relation Extraction ,
  by Bo Li and Wei Ye and Zhonghao Sheng and Rui Xie and Xiangyu Xi and Shikun Zhang [bib]
  
  

  LiYSXXZ20

EACL

• Multilingual Entity and Relation Extraction Dataset and Model ,
  by Seganti, Alessandro and Firl{\k{a}}g, Klaudia and Skowronska, Helena and Sat{\l}awa, Micha{\l} and Andruszkiewicz, Piotr [bib]
  
  

  seganti-etal-2021-multilingual

• Learning Relatedness between Types with Prototypes for Relation Extraction ,
  by Fu, Lisheng and Grishman, Ralph [bib]
  
  

  fu-grishman-2021-learning

• ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction ,
  by Wang, Yijun and Sun, Changzhi and Wu, Yuanbin and Zhou, Hao and Li, Lei and Yan, Junchi [bib]
  
  

  wang-etal-2021-enpar

• Modeling Coreference Relations in Visual Dialog ,
  by Li, Mingxiao and Moens, Marie-Francine [bib]
  
  

  li-moens-2021-modeling

• An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning ,
  by Eberts, Markus and Ulges, Adrian [bib]
  
  

  eberts-ulges-2021-end

• Two Training Strategies for Improving Relation Extraction over Universal Graph ,
  by Dai, Qin and Inoue, Naoya and Takahashi, Ryo and Inui, Kentaro [bib]
  
  

  dai-etal-2021-two

• An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning ,
  by Markus Eberts and Adrian Ulges [bib]
  
  

  EbertsU21

• GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction ,
  by Xinya Du and Alexander M. Rush and Claire Cardie [bib]
  
  

  DuRC21

• Bootstrapping Relation Extractors using Syntactic Search by Examples ,
  by Matan Eyal and Asaf Amrami and Hillel Taub{-}Tabib and Yoav Goldberg [bib]
  
  

  EyalATG21

ICML

• Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ,
  by Qu, Meng, Gao, Tianyu, Xhonneux, Louis-Pascal and Tang, Jian [bib]
  
  

  pmlr-v119-qu20a

ICLR

• Prototypical Representation Learning for Relation Extraction ,
  by Ning Ding and Xiaobin Wang and Yao Fu and Guangwei Xu and Rui Wang and Pengjun Xie and Ying Shen and Fei Huang and Hai{-}Tao Zheng and Rui Zhang [bib]
  
  

  DingWFXWXSHZZ21

NeurIPS

• Knowledge Extraction with No Observable Data ,
  by Jaemin Yoo and Minyong Cho and Taebum Kim and U Kang [bib]
  
  

  YooCKK19

AAAI

• Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling ,
  by Wenxuan Zhou and Kevin Huang and Tengyu Ma and Jing Huang [bib]
  
  

  Zhou0M021

• Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction ,
  by Benfeng Xu and Quan Wang and Yajuan Lyu and Yong Zhu and Zhendong Mao [bib]
  
  

  XuWLZM21

• Multi-view Inference for Relation Extraction with Uncertain Knowledge ,
  by Bo Li and Wei Ye and Canming Huang and Shikun Zhang [bib]
  
  

  LiYHZ21

• Document-Level Relation Extraction with Reconstruction ,
  by Wang Xu and Kehai Chen and Tiejun Zhao [bib]
  
  

  XuCZ21

TACL

• Cross-A Large-Scale Document-Level RelatSentence N-ary Relation Extraction with Graph LSTMs ,
  by Nanyun Peng and Hoifung Poon and Chris Quirk and Kristina Toutanova and Wen{-}tau Yih [bib]
  
  

  PengPQTY17

NUSE-NAACL

• Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies ,
  by Huang, Kung-Hsiang and Peng, Nanyun [bib]
  
  

  huang-peng-2021-document

arXiv

• DocOIE: A Document-level Context-Aware Dataset for OpenIE ,
  by Kuicai Dong and Yilin Zhao and Aixin Sun and Jung{-}Jae Kim and Xiaoli Li [bib]
  ACL2021
  

  abs-2105-04271

• MLBiNet: A Cross-Sentence Collective Event Detection Network ,
  by Dongfang Lou and Zhilin Liao and Shumin Deng and Ningyu Zhang and Huajun Chen [bib]
  ACL2021
  

  abs-2105-09458

• Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ,
  by Runxin Xu, Tianyu Liu, Lei Li and Baobao Chang [bib]
  ACL2021
  

  xu2021documentlevel

• Discriminative Reasoning for Document-level Relation Extraction ,
  by Wang Xu, Kehai Chen and Tiejun Zhao [bib]
  ACL2021
  

  xu2021discriminative

• SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction ,
  by Shuang Zeng, Yuting Wu and Baobao Chang [bib]
  ACL2021
  

  zeng2021sire

• Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction ,
  by Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai and Dongyan Zhao [bib]
  ACL2021
  

  huang2021sentences

• Document-level Relation Extraction as Semantic Segmentation ,
  by Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si and Huajun Chen [bib]
  IJCAI2021
  

  zhang2021documentlevel

• PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ,
  by Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Ming Xu and Yefeng Zheng [bib]
  ACL 2021
  

  zheng2021prgc

• ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ,
  by Yujia Qin and Yankai Lin and Ryuichi Takanobu and Zhiyuan Liu and Peng Li and Heng Ji and Minlie Huang and Maosong Sun and Jie Zhou [bib]
  ACL 2021
  

  abs-2012-15022

• Entity and Evidence Guided Relation Extraction for DocRED ,
  by Kevin Huang and Guangtao Wang and Tengyu Ma and Jing Huang [bib]
  
  

  abs-2008-12283

• Fine-tune Bert for DocRED with Two-step Process ,
  by Hong Wang and Christfried Focke and Rob Sylvester and Nilesh Mishra and William Yang Wang [bib]
  
  

  abs-1909-11898