RQ4 - Which corpora were used to evaluate the relation extraction approaches?
| ID | Database | Title | Author | Paper | Year | Type of corpus 1 | Type of corpus 2 | Type of corpus 3 | Type of corpus 4 |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Glauber | Adapting open information extraction to domain-specific relations | Soderland, Stephen; Roof, Brendan; Qin, Bo; Xu, Shi; Etzioni, Oren; others | Link | 2010 | microblog | |||
| 3 | Snowball | Identifying functional relations in web text | Thomas Lin, Mausman, and Oren Etzioni | Link | 2010 | Web as corpus | |||
| 4 | Snowball | Identifying Interesting Assertions from the Web | T. Lin, O. Etzioni, J.Fogarty | Link | 2009 | Does not Specify | |||
| 5 | Glauber | Identifying relations for open information extraction | Fader, Anthony; Soderland, Stephen; Etzioni, Oren | Link | 2011 | Web as corpus | microblog | ||
| 6 | Snowball | KNOWITNOW: Fast, scalable information extraction from the web | Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni | Link | 2005 | Web as corpus | |||
| 7 | Snowball | Learning text patterns for web information extraction and assessment | Doug Downey, Oren Etzioni, Stephen Soderland, and Daniel S. Weld | Link | 2002 | Web as corpus | |||
| 8 | Snowball | Methods for domainindependent information extraction from the web: An experimental comparison. | Oren Etzioni, Michael J. Cafarella, Doug Downey, AnaMaria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates | Link | 2004 | Web as corpus | |||
| 9 | Snowball | Open information extraction from the web | Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S. Weld | Link | 2008 | Web as corpus | |||
| 10 | Snowball | Open information extraction to kbp relations in 3 hours (2013) | Soderland, S., Gilmer, J., Bart, R., Etzioni, O., Weld, D.S.: | Link | 2013 | Pre-processed Dataset | |||
| 11 | Glauber | Open Information Extraction: The Second Generation. | Etzioni, Oren; Fader, Anthony; Christensen, Janara; Soderland, Stephen; Mausam, Mausam | Link | 2011 | Web as corpus | microblog | ||
| 13 | ACL | Semantic Role Labeling for Open Information Extraction | Christensen, Janara; Mausam; Soderland, Stephen; Etzioni, Oren | Link | 2010 | Web as corpus | |||
| 15 | Snowball | The tradeoffs between open and traditional relation extraction | Michele Banko and Oren Etzioni | Link | 2008 | Web as corpus | Pre-processed corpus | ||
| 16 | Snowball | Web-scale information extraction in KnowItAll (Preliminary results) | O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.-M. Popescu, T. Shaked, S. Soderland, D. S. Weld, and A. Yates | Link | 2004 | Web as corpus | |||
| 17 | Snowball | Learning information extraction rules for semi-structured and free text | Stephen Soderland | Link | 1999 | News | |||
| 18 | Glauber | Open language learning for information extraction | Schmitz, Michael; Bart, Robert; Soderland, Stephen; Etzioni, Oren | Link | 2012 | News | Wikipedia | Scientific Literature | |
| 19 | ACL | Boosting Open Information Extraction with Noun-Based Relations | Xavier, Clarissa; Lima, Vera | Link | 2014 | Web as corpus | Pre-processed corpus | ||
| 20 | Glauber | Open information extraction based on lexical semantics | Xavier, Clarissa Castellã; de Lima, Vera Lúcia Strube; Souza, Marlo | Link | 2015 | Wikipedia | |||
| 22 | Glauber | Clausie: clause-based open information extraction | Del Corro, Luciano; Gemulla, Rainer | Link | 2013 | Web as corpus | microblog | Wikipedia | |
| 23 | Glauber | CORE: Context-Aware Open Relation Extraction with Factorization Machines | Petroni, Fabio; Del Corro, Luciano; Gemulla, Rainer | Link | 2015 | News | |||
| 24 | ACL | Facts That Matter | Ponza, Marco; Del Corro, Luciano; Weikum, Gerhard | Link | 2018 | News | |||
| 25 | Glauber | MinIE: minimizing facts in open information extraction | Gashteovski, Kiril; Gemulla, Rainer; Del Corro, Luciano | Link | 2017 | News | Wikipedia | ||
| 26 | ACL | Dependency-Based Open Information Extraction | Gamallo, Pablo; Garcia, Marcos; Fernández-Lanza, Santiago | Link | 2011 | Wikipedia | |||
| 28 | Glauber | Multilingual Open Information Extraction | Gamallo, Pablo; Garcia, Marcos | Link | 2015 | Web as corpus | microblog | Wikipedia | |
| 29 | ACL | Open Information Extraction from Conjunctive Sentences | Saha, Swarnadeep; Mausam | Link | 2018 | News | Wikipedia | Pre-processed Dataset | |
| 30 | ACL | Bootstrapping for Numerical Open IE | Saha, Swarnadeep; Pal, Harinder; Mausam | Link | 2018 | Wikipedia | Pre-processed corpus | ||
| 31 | ACL | Demonyms and Compound Relational Nouns in Nominal Open IE | Pal, Harinder; Mausam | Link | 2016 | News | |||
| 33 | Snowball | Open information extraction systems and downstream applications | Mausam | Link | 2016 | Does not Specify | |||
| 34 | Snowball | Distant supervision for information extraction of overlapping relations | Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld | Link | 2011 | News | |||
| 35 | Snowball | Learning 5000 relational extractors | R. Hoffmann, C. Zhang, and D. S. Weld. | Link | 2010 | Wikipedia | |||
| 36 | Snowball | Using wikipedia to bootstrap open information extraction | Daniel S. Weld, Raphael Hoffmann, and Fei Wu | Link | 2014 | Wikipedia | |||
| 37 | Snowball | Distant supervision for relation extraction without labeled data | Mike Mintz , Steven Bills , Rion Snow , Dan Jurafsky, | Link | 2009 | Wikipedia | |||
| 39 | Snowball | Learning to extract relations from the web using minimal supervision. | Bunescu, R. C. and Mooney, R. J | Link | 2007 | Web as corpus | |||
| 40 | Snowball | Subsequence kernels for relation extraction | Razvan C. Bunescu and Raymond J. Mooney | Link | 2006 | Scientific Literature | |||
| 41 | Snowball | Discovering relations among named entities from large corpora | T. Hasegawa, S. Sekine, and R. Grishman | Link | 2004 | News | |||
| 42 | Snowball | Preemptive information extraction using unrestricted relation discovery | Yusuke Shinyama and Satoshi Sekine | Link | 2006 | News | |||
| 45 | ACL | A Lexicalized Tree Kernel for Open Information Extraction | Xu, Ying; Ringlstetter, Christoph; Kim, Mi-young; Kondrak, Grzegorz; Goebel, Randy; Miyao, Yusuke | Link | 2015 | News | Pre-processed corpus | ||
| 46 | Glauber | A multi-strategy approach for lexicalizing linked open data | Perera, Rivindu; Nand, Parma | Link | 2015 | Web as corpus | Wikipedia | ||
| 47 | Glauber | A probabilistic approach for integrating heterogeneous knowledge sources | Dutta, Arnab; Meilicke, Christian; Ponzetto, Simone Paolo | Link | 2014 | Wikipedia | |||
| 48 | Glauber | A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer | Lin, Hailun; Wang, Yuanzhuo; Zhang, Peng; Wang, Weiping; Yue, Yinliang; Lin, Zheng | Link | 2016 | News | Wikipedia | Pre-processed Dataset | |
| 55 | Snowball | An Unsupervised WordNet-based Algorithm for Relation Extraction | Stevenson, M | Link | 2004 | Pre-processed Dataset | |||
| 58 | Snowball | Automatic acquisition of domain knowledge for information extraction | R. Yangarber, R. Grishman, P. Tapanainen, S. Huttunen | Link | 2000 | Pre-processed Dataset | News | ||
| 59 | Snowball | Automatic extraction of facts, relations, and entities for web-scale knowledge base population. | Nakashole NT (2012) | Link | 2012 | Wikipedia | News | ||
| 61 | Glauber | Building Relation Extraction Templates via Unsupervised Learning | El-Kilany, Ayman; El Tazi, Neamat; Ezzat, Ehab | Link | 2017 | Wikipedia | News | ||
| 64 | Snowball | Clustering for unsupervised relation identification | Benjamin Rosenfeld , Ronen Feldman, | Link | 2007 | News | Pre-processed corpus | ||
| 65 | Snowball | Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations | Nanda Kambhatla | Link | 2004 | Pre-processed Dataset | |||
| 66 | Snowball | Combining linguistic and statistical analysis to extract relations from web documents. | Fabian M. Suchanek, Georgiana Ifrim, and Gerhard Weikum. | Link | 2006 | Wikipedia | Web as Corpus | ||
| 67 | Snowball | Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction | Jason Weston, Antoine Bordes, Oksana Yakhnenko, and Nicolas Usunier | Link | 2013 | News | |||
| 71 | Snowball | Discovering relations between named entities from a large raw corpus using tree similarity-based clustering | Min Zhang , Jian Su , Danmei Wang , Guodong Zhou , Chew Lim Tan | Link | 2005 | News | |||
| 72 | Glauber | Discovering relations between noun categories | Mohamed, Thahir P.; Hruschka Jr, Estevam R.; Mitchell, Tom M. | Link | 2011 | Web as corpus | |||
| 73 | Glauber | Discovering Relations to Augment a Web-scale Knowledge Base Constructed from the Web | Kim, Jinho; Myaeng, Sung-Hyon | Link | 2016 | Web as corpus | Wikipedia | ||
| 74 | Snowball | Distant supervision for relation extraction with an incomplete knowledge base | B. Min, R. Grishman, L. Wan, C. Wang, and D. Gondek, | Link | 2013 | Pre-processed Dataset | |||
| 75 | Snowball | Distantly supervised web relation extraction for knowledge base population. Semantic Web (Preprint) | Augenstein, I., Maynard, D., Ciravegna, F., et al.: | Link | 2016 | Web as corpus | |||
| 78 | Glauber | Effectiveness and Efficiency of Open Relation Extraction | Mesquita, Filipe; Schmidek, Jordan; Barbosa, Denilson | Link | 2013 | News | Pre-processed corpus | ||
| 79 | Snowball | End-to-end relation extraction using distant supervision from external semantic repositories | T.V.T. Nguyen and A. Moschitti | Link | 2011 | Wikipedia | |||
| 84 | Snowball | Exploring various knowledge in relation extraction | G. Zhou, J. Su, J. Zhang, and M. Zhang | Link | 2004 | Pre-processed Dataset | |||
| 85 | Glauber | Extracting information networks from the blogosphere | Merhav, Yuval; Mesquita, Filipe; Barbosa, Denilson; Yee, Wai Gen; Frieder, Ophir | Link | 2012 | Pre-processed Dataset | |||
| 87 | Snowball | Wanderlust: Extracting Semantic Relations from Natural Language Text Using Dependency Grammar Patterns | Alan Akbik and J¨ugen Broß. Wanderlus | Link | 2009 | Wikipedia | |||
| 90 | ACL | Graphene: Semantically-Linked Propositions in Open Information Extraction | Cetto, Matthias; Niklaus, Christina; Freitas, André; Handschuh, Siegfried | Link | 2018 | Wikipedia | News | Pre-processed Dataset | |
| 92 | ACL | High Recall Open IE for Relation Discovery | Elsahar, Hady; Gravier, Christophe; Laforest, Frederique | Link | 2017 | News | Wikipedia | ||
| 99 | Snowball | Information extraction from unstructured web text | A-M. Popescu | Link | 2007 | Web as corpus | |||
| 102 | Snowball | Joint Inference: a Statistical Approach for Open Information Extraction | Liu, Yongbin; Yang, Bingru | Link | 2012 | Pre-processed Dataset | |||
| 103 | Snowball | Kernel methods for relation extraction | Dmitry Zelenko , Chinatsu Aone , Anthony Richardella, | Link | 2003 | News | |||
| 106 | ACL | Kraken: N-ary Facts in Open Information Extraction | Akbik, Alan; Loser | Link | 2012 | microblog | |||
| 107 | Snowball | Large-scale learning of relation-extraction rules with distant supervision from the web | S. Krause, H. Li, H. Uszkoreit, and F. Xu. | Link | 2012 | Web as corpus | Pre-processed corpus | News | Microblog |
| 108 | Snowball | Learning domain-specific information extraction patterns from the web | S. Patwardhan, E. Riloff | Link | 2006 | Pre-processed Dataset | |||
| 110 | Glauber | Learning to extract domain-specific relations from complex sentences | Tan, Saravadee Sae; Lim, Tek Yong; Soon, Lay-Ki; Tang, Enya Kong | Link | 2016 | Wikipedia | microblog | ||
| 113 | Snowball | LEILA: Learning to Extract Information by Linguistic Analysis | Suchanek, F.M., Ifrim, G., Weikum, G | Link | 2006 | Wikipedia | Web as Corpus | ||
| 114 | Glauber | Leveraging linguistic structure for open domain information extraction | Angeli, Gabor; Premkumar, Melvin Johnson; Manning, Christopher D. | Link | 2015 | Pre-processed Dataset | |||
| 115 | Snowball | Modeling relations and their mentions without labeled text | S. Riedel, L. Yao, and A. McCallum | Link | 2010 | News | |||
| 117 | Snowball | Multi-instance Multi-label Learning for Relation Extraction | Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning | Link | 2012 | Pre-processed Dataset | |||
| 118 | ACL | Nested Propositions in Open Information Extraction | Bhutani, Nikita; Jagadish, H. V.; Radev, Dragomir | Link | 2016 | Wikipedia | News | ||
| 119 | ACL | Neural Open Information Extraction | Cui, Lei; Wei, Furu; Zhou, Ming | Link | 2018 | Wikipedia | Pre-processed corpus | ||
| 120 | Snowball | Open Domain Information Extraction Via Automatic Semantic Labeling. | Moschitti, A.; Morarescu, P.; and Harabagiu, | Link | 2016 | Does not Specify | |||
| 122 | ACL | Open Information Extraction Using Wikipedia | Wu, Fei; Weld, Daniel S. | Link | 2010 | Wikipedia | |||
| 123 | Glauber | Open information extraction via contextual sentence decomposition | Bast, Hannah; Haussmann, Elmar | Link | 2013 | News | Wikipedia | ||
| 124 | Glauber | Open Information Extraction with Tree Kernels | Xu, Ying; Kim, Mi-Young; Quinn, Kevin; Goebel, Randy; Barbosa, Denilson | Link | 2013 | Pre-processed Dataset | Web as Corpus | ||
| 125 | Snowball | Open knowledge extraction through compositional language processing. | Benjamin Van Durme and Lenhart Schubert. | Link | 2008 | Wikipedia | |||
| 127 | Glauber | Open Relation Extraction Based on Core Dependency Phrase Clustering | Ru, Chengsen; Li, Shasha; Tang, Jintao; Gao, Yi; Wang, Ting | Link | 2017 | Pre-processed Dataset | |||
| 131 | Snowball | Pattern learning for relation extraction with a hierarchical topic mode | E. Alfonseca, K. Filippova, J.-Y. Delort and G. Garrido | Link | 2012 | News | |||
| 132 | Snowball | Patty: A taxonomy of relational patterns with semantic types | Ndapandula Nakashole, Gerhard Weikum, and Fabian Suchanek | Link | 2012 | News | Wikipedia | ||
| 136 | ACL | Pocket Knowledge Base Population | Wolfe, Travis; Dredze, Mark; Van Durme, Benjamin | Link | 2017 | Wikipedia | |||
| 138 | Snowball | Pore: Positive-only relation extraction from wikipedia text. | Gang Wang, Yong Yu, and Haiping Zhu. | Link | 2007 | Wikipedia | |||
| 140 | Glauber | Rdr-based open ie for the web document | Kim, Myung Hee; Compton, Paul; Kim, Yang Sok | Link | 2011 | News | Pre-processed corpus | ||
| 142 | Snowball | Relation extraction from the web using distant supervision. | I. Augenstein, D. Maynard, and F. Ciravegna | Link | 2014 | Web as corpus | |||
| 143 | Snowball | Relation extraction with matrix factorization and universal schemas | Sebastian Riedel, Limin Yao, Benjamin M. Marlin, and Andrew McCallum. | Link | 2013 | News | |||
| 144 | Snowball | Relational duality: Unsupervised extraction of semantic relations between entities on the web. | D.T. Bollegala, Y. Matsuo, and M. Ishizuka | Link | 2009 | News | Pre-processed corpus | ||
| 145 | Snowball | Relational learning of pattern-match rules for information extraction | R. Mooney | Link | 1997 | microblog | |||
| 147 | Glauber | ReNoun: Fact Extraction for Nominal Attributes. | Yahya, Mohamed; Whang, Steven; Gupta, Rahul; Halevy, Alon Y. | Link | 2014 | News | |||
| 150 | Snowball | Snowball: Extracting relations from large plain text collections. | E. Agichtein, L. Gravano | Link | 2000 | News | |||
| 152 | Snowball | StatSnowball: a statistical approach to extracting entity relationships, | Jun Zhu , Zaiqing Nie , Xiaojiang Liu , Bo Zhang , Ji-Rong Wen | Link | 2009 | News | Pre-processed corpus | ||
| 153 | Snowball | Structured relation discovery using generative models. | Limin Yao, Aria Haghighi, Sebastian Riedel, and Andrew McCallum. | Link | 2011 | News | |||
| 154 | ACL | Supervised Open Information Extraction | Stanovsky, Gabriel; Michael, Julian; Zettlemoyer, Luke; Dagan, Ido | Link | 2018 | News | Wikipedia | Pre-processed Dataset | |
| 155 | Glauber | Triple Extraction Using Lexical Pattern-based Syntax Model | Huynh, Ai Loan; Nguyen, Hong Son; Duong, Trong Hai | Link | 2016 | Wikipedia | News | ||
| 156 | Snowball | Unsupervised discovery of domain-specific knowledge from text. | Dirk Hovy, Chunliang Zhang, Eduard Hovy, and Anselmo Pe nas. | Link | 2011 | News | |||
| 157 | Snowball | Unsupervised discovery of scenario-level patterns for information extraction | Roman Yangarber, Ralph Grishman, Pasi Tapanainen, and Silja Huttunen | Link | 2000 | Pre-processed Dataset | |||
| 158 | Snowball | Unsupervised feature selection for relation extraction | Chen, J., Ji, D., Tan, C.L., and Niu, Z. | Link | 2005 | Pre-processed Dataset | |||
| 159 | Snowball | Unsupervised information extraction approach using graph mutual reinforcement | Hassan, H., Hassan, A. and Emam, O. | Link | 2006 | Pre-processed Dataset | |||
| 160 | Snowball | Unsupervised relation discovery with sense disambiguation | Limin Yao, Sebastian Riedel, and Andrew McCallum. | Link | 2012 | News | |||
| 161 | Snowball | Unsupervised relation extraction from web documents | Eichler K, Hemsen H, Günter N | Link | 2008 | Pre-processed Dataset | |||
| 162 | Snowball | Unsupervised relation extraction with general domain knowledge. | Oier Lopez de Lacalle and Mirella Lapata | Link | 2013 | News | |||
| 170 | Snowball | Yago2: A spatially and temporally enhanced knowledge base from wikipedia | Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: | Link | 2013 | Wikipedia | |||
| 172 | ACM | HighLife: Higher-arity Fact Harvesting | Patrick Ernst and Amy Siu and Gerhard Weikum | Link | 2018 | News | Scientific Literature | ||
| 173 | ACM | Integrating Local Context and Global Cohesiveness for Open Information Extraction | Qi Zhu and Xiang Ren and Jingbo Shang and Yu Zhang and Ahmed El-Kishky and Jiawei Han | Link | 2019 | News | Wikipedia | Microblog | |
| 174 | ACM | Learning Dual Retrieval Module for Semi-supervised Relation Extraction | Hongtao Lin and Jun Yan and Meng Qu and Xiang Ren | Link | 2019 | Pre-processed Dataset | |||
| 175 | ACM | Multi-Path Convolutional Neural Network for Distant Supervised Relation Extraction | Yunyang Li and Zhinong Zhong and Ning Jing | Link | 2018 | News | |||
| 176 | ACM | Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning | Meng Qu and Xiang Ren and Yu Zhang and Jiawei Han | Link | 2018 | News | Wikipedia | ||
| 177 | IEEE | Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions | H. She and B. Wu and B. Wang and R. Chi | Link | 2018 | News | Wikipedia | ||
| 178 | IEEE | Entity-Dependent Long-Short Time Memory Network for Semantic Relation Extraction | Y. Shen and J. Sun and P. Jia and L. Zhang and D. Han and X. Shen and Y. Li | Link | 2018 | Pre-processed Dataset | |||
| 180 | IEEE | Relation Extraction Based on Deep Learning | L. Xue and S. Qing and Z. Pengzhou | Link | 2018 | Pre-processed Dataset | |||
| 181 | Scholar | A Distance Approach for Open Information Extraction Based on Word Vector. | Peiqian, Liu; Xiaojie, Wang | Link | 2018 | Wikipedia | Pre-processed corpus | News | |
| 182 | Scholar | A Hierarchical Framework for Relation Extraction with Reinforcement Learning | Takanobu, Ryuichi; Zhang, Tianyang; Liu, Jiexi; Huang, Minlie | Link | 2018 | News | |||
| 187 | Scholar | Adversarial multi-lingual neural relation extraction | Wang, Xiaozhi; Han, Xu; Lin, Yankai; Liu, Zhiyuan; Sun, Maosong | Link | 2018 | Does not Specify | |||
| 188 | Scholar | Adversarial Training for Relation Classification with Attention Based Gate Mechanism | Cao, Pengfei; Chen, Yubo; Liu, Kang; Zhao, Jun | Link | 2018 | Pre-processed Dataset | |||
| 189 | Scholar | DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction | Zheng, Shun; Yu, Peilin; Chen, Lu; Huang, Ling; Xu, Wei | Link | 2018 | News | |||
| 196 | Scholar | Large scaled relation extraction with reinforcement learning | Zeng, Xiangrong; He, Shizhu; Liu, Kang; Zhao, Jun | Link | 2018 | News | Pre-processed corpus | ||
| 197 | Scholar | Learning Multi-granular Features for Harvesting Knowledge from Free Text | Zhou, Zheng; Wang, Huaming; Li, Zhixing; Hu, Feng; Wang, Guoyin | Link | 2019 | News | |||
| 200 | Scholar | Multiple order semantic relation extraction | Song, Shengli; Sun, Yulong; Di, Qiang | Link | 2018 | Pre-processed Dataset | |||
| 203 | Scholar | Neural Relation Extraction for Knowledge Base Enrichment | Trisedya, Bayu Distiawan; Weikum, Gerhard; Qi, Jianzhong; Zhang, Rui | Link | 2019 | Wikipedia | Pre-processed corpus | ||
| 204 | Scholar | Never-ending learning | Mitchell, Tom; Cohen, William; Hruschka, Estevam; Talukdar, Partha; Yang, Bo; Betteridge, Justin; Carlson, Andrew; Dalvi, B.; Gardner, Matt; Kisiel, Bryan; others | Link | 2018 | Web as corpus | |||
| 206 | Scholar | Open Information Extraction in Biomedical Literature | Wang, Xuan; Zhang, Yu; Chen, Yinyin; Liu, Liyuan | Link | 2016 | Pre-processed Dataset | |||
| 208 | Scholar | OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference | Zhang, Dongxu; Mukherjee, Subhabrata; Lockard, Colin; Dong, Xin Luna; McCallum, Andrew | Link | 2019 | News | |||
| 209 | Scholar | RCE-OIE: Open Information Extraction Using a Rule-Based Clause Extraction Engine for Semantic Applications | Thenmozhi, D.; Aravindan, Chandrabose | Link | 2018 | News | Wikipedia | ||
| 210 | Scholar | Relation Discovery with Out-of-Relation Knowledge Base as Supervision | Liang, Yan; Liu, Xin; Zhang, Jianwen; Song, Yangqiu | Link | 2019 | News | |||
| 215 | Scholar | Span Based Open Information Extraction | Zhan, Junlang; Zhao, Hai | Link | 2019 | Pre-processed Dataset | |||
| 216 | Scholar | StuffIE: Semantic tagging of unlabeled facets using fine-grained information extraction | Prasojo, Radityo Eko; Kacimi, Mouna; Nutt, Werner | Link | 2018 | News | Wikipedia | ||
| 220 | Science Direct | A hybrid model based on neural networks for biomedical relation extraction | Yijia Zhang and Hongfei Lin and Zhihao Yang and Jian Wang and Shaowu Zhang and Yuanyuan Sun and Liang Yang | Link | 2018 | Scientific Literature | |||
| 221 | Science Direct | Distant supervision for neural relation extraction integrated with word attention and property features | Jianfeng Qu and Dantong Ouyang and Wen Hua and Yuxin Ye and Ximing Li | Link | 2018 | News | |||
| 222 | Science Direct | Feature-enriched matrix factorization for relation extraction | Duc-Thuan Vo and Ebrahim Bagheri | Link | 2019 | News | |||
| 223 | Science Direct | HClaimE: A tool for identifying health claims in health news headlines | Shi Yuan and Bei Yu | Link | 2019 | News | |||
| 225 | Science Direct | Self-training on refined clause patterns for relation extraction | Duc-Thuan Vo and Ebrahim Bagheri | Link | 2018 | News | Wikipedia | Microblog | |
| 228 | Scopus | A framework for crime data analysis using relationship among named entities | Das, P., Das, A.K., Nayak, J., Pelusi, D. | Link | 2019 | Pre-processed Dataset | |||
| 232 | Scopus | A hybrid graph model for distant supervision relation extraction | Duan, S., Gao, H., Liu, B., Qi, G. | Link | 2019 | News | |||
| 233 | Scopus | A moderately deep convolutional neural network for relation extraction | Bing, X., Shen, L., Zheng, L. | Link | 2019 | News | |||
| 234 | Scopus | A relation extraction method based on entity type embedding and recurrent piecewise residual networks | Wang, Y., Zhao, H., Tu, L., Dan, J., Liu, L. | Link | 2019 | News | |||
| 237 | Scopus | A semieager classifier for open relation extraction | Liu, P., Wang, X. | Link | 2018 | Pre-processed Dataset | |||
| 239 | Scopus | A walk-based model on entity graphs for relation extraction | Christopoulou, F., Miwa, M., Ananiadou, S. | Link | 2018 | Pre-processed Dataset | |||
| 241 | Scopus | Adversarial learning for distant supervised relation extraction | Zeng, D., Dai, Y., Li, F., Sherratt, R.S., Wang, J. | Link | 2018 | News | |||
| 242 | Scopus | Bootstrapped Multi-level Distant Supervision for Relation Extraction | He, Y., Li, Z., Liu, G., Cao, F., Chen, Z., Wang, K., Ma, J. | Link | 2018 | Web as corpus | Pre-processed corpus | ||
| 246 | Scopus | Contextualized Word Embeddings in a Neural Open Information Extraction Model | Sarhan, I., Spruit, M.R. | Link | 2019 | Wikipedia | |||
| 247 | Scopus | Discovering correlations between sparse features in distant supervision for relation extraction | Qu, J., Ouyang, D., Ye, Y., Hua, W., Zhou, X. | Link | 2019 | News | |||
| 248 | Scopus | Distant supervision for relation extraction with hierarchical selective attention | Zhou, P., Xu, J., Qi, Z., Bao, H., Chen, Z., Xu, B. | Link | 2018 | News | |||
| 250 | Scopus | Distant Supervision for Relation Extraction with Neural Instance Selector | Chen, Y., Liu, H., Wu, C., Yuan, Z., Jiang, M., Huang, Y. | Link | 2018 | News | |||
| 251 | Scopus | Encoding implicit relation requirements for relation extraction: A joint inference approach | Chen, L., Feng, Y., Huang, S., Luo, B., Zhao, D. | Link | 2018 | News | |||
| 252 | Scopus | End-to-end neural relation extraction using deep biaffine attention | Nguyen, D.Q., Verspoor, K. | Link | 2019 | Pre-processed Dataset | |||
| 253 | Scopus | End-to-end relation extraction using markov logic networks | Pawar, S., Bhattacharya, P., Palshikar, G.K. | Link | 2018 | Pre-processed Dataset | |||
| 254 | Scopus | Ensemble neural relation extraction with adaptive boosting | Yang, D., Wang, S., Li, Z. | Link | 2018 | News | |||
| 255 | Scopus | Exploring encoder-decoder model for distant supervised relation extraction | Su, S., Jia, N., Cheng, X., Zhu, S., Li, R. | Link | 2018 | News | |||
| 258 | Scopus | Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path | Can, D.-C., Le, H.-Q., Ha, Q.-T. | Link | 2019 | News | |||
| 261 | Scopus | Joint entity recognition and relation extraction as a multi-head selection problem | Bekoulis, G., Deleu, J., Demeester, T., Develder, C. | Link | 2018 | Pre-processed Dataset | |||
| 264 | Scopus | Latent relational model for relation extraction | Rossiello, G., Gliozzo, A., Fauceglia, N., Semeraro, G. | Link | 2019 | News | |||
| 268 | Scopus | MSnet: Multi-Head Self-Attention Network for Distantly Supervised Relation Extraction | Sun, T., Zhang, C., Ji, Y., Hu, Z. | Link | 2019 | News | |||
| 269 | Scopus | Open Information Extraction with Meta-pattern Discovery in Biomedical Literature | Wang, X., Zhang, Y., Li, Q., Chen, Y., Han, J. | Link | 2018 | Scientific Literature | |||
| 270 | Scopus | Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature | Li, Q., Wang, X., Zhang, Y., Ling, F., Wu, C.H., Han, J. | Link | 2019 | Scientific Literature | |||
| 272 | Scopus | Relating Legal Entities via Open Information Extraction | Siragusa, G., Nanda, R., De Paiva, V., Di Caro, L. | Link | 2019 | Scientific Literature | |||
| 273 | Scopus | Relation extraction and discovery from free texts via bootstrapping | Yang, Y., Luo, J. | Link | 2018 | Pre-processed Dataset | |||
| 278 | Scopus | Robust distant supervision relation extraction via deep reinforcement learning | Qin, P., Xu, W., Wang, W.Y. | Link | 2018 | News | Pre-processed corpus | ||
| 279 | Scopus | SEE: Syntax-aware entity embedding for neural relation extraction | He, Z., Chen, W., Li, Z., Zhang, M., Zhang, W., Zhang, M. | Link | 2018 | News | |||
| 281 | Scopus | Senet for weakly-supervised relation extraction | Liu, J., Chen, G., Guo, J. | Link | 2018 | News | |||
| 282 | Scopus | Simple large-scale relation extraction from unstructured text | Christodoulopoulos, C., Mittal, A. | Link | 2019 | Wikipedia |