RQ1 - When and where have the studies been published?
ID | Database | Title | Autor | Paper | Year | Type of event | Conf/journal name |
---|---|---|---|---|---|---|---|
1 | Glauber and Claro (2018) | Adapting open information extraction to domain-specific relations | Soderland, Stephen; Roof, Brendan; Qin, Bo; Xu, Shi; Etzioni, Oren; others | Link | 2010 | j | Ai Magazine |
3 | Snowball | Identifying functional relations in web text | Thomas Lin, Mausman, and Oren Etzioni | Link | 2010 | c | Conference on Empirical Methods in Natural Language Processing |
4 | Snowball | Identifying Interesting Assertions from the Web | T. Lin, O. Etzioni, J.Fogarty | Link | 2009 | c | Conference on Information and knowledge management |
5 | Glauber and Claro (2018) | Identifying relations for open information extraction | Fader, Anthony; Soderland, Stephen; Etzioni, Oren | Link | 2011 | c | Conference on Empirical Methods in Natural Language Processing |
6 | Snowball | KNOWITNOW: Fast, scalable information extraction from the web | Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni | Link | 2005 | c | Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing |
7 | Snowball | Learning text patterns for web information extraction and assessment | Doug Downey, Oren Etzioni, Stephen Soderland, and Daniel S. Weld | Link | 2002 | w | Workshop on adaptive text extraction and mining |
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 | c | National Conference on Artificial Intelligence and Conference on Innovative Applications of Artificial Intelligence |
9 | Snowball | Open information extraction from the web | Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S. Weld | Link | 2008 | c | International joint conference on Artifical intelligence |
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 | c | Text Analysis Conference - Knowledge Base Propagation |
11 | Glauber and Claro (2018) | Open Information Extraction: The Second Generation. | Etzioni, Oren; Fader, Anthony; Christensen, Janara; Soderland, Stephen; Mausam, Mausam | Link | 2011 | c | International joint conference on Artificial Intelligence |
13 | ACL | Semantic Role Labeling for Open Information Extraction | Christensen, Janara; Mausam; Soderland, Stephen; Etzioni, Oren | Link | 2010 | c | International Workshop on Formalisms and Methodology for Learning by Reading |
15 | Snowball | The tradeoffs between open and traditional relation extraction | Michele Banko and Oren Etzioni | Link | 2008 | c | ACL-08: HLT |
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 | c | International conference on World Wide Web |
17 | Snowball | Learning information extraction rules for semi-structured and free text | Stephen Soderland | Link | 1999 | j | Machine learning |
18 | Glauber and Claro (2018) | Open language learning for information extraction | Schmitz, Michael; Bart, Robert; Soderland, Stephen; Etzioni, Oren | Link | 2012 | c | Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning |
19 | ACL | Boosting Open Information Extraction with Noun-Based Relations | Xavier, Clarissa; Lima, Vera | Link | 2014 | c | Conference on Language Resources and Evaluation |
20 | Glauber and Claro (2018) | Open information extraction based on lexical semantics | Xavier, Clarissa Castellã; de Lima, Vera Lúcia Strube; Souza, Marlo | Link | 2015 | j | Journal of the Brazilian Computer Society |
22 | Glauber and Claro (2018) | Clausie: clause-based open information extraction | Del Corro, Luciano; Gemulla, Rainer | Link | 2013 | c | International conference on World Wide Web |
23 | Glauber and Claro (2018) | CORE: Context-Aware Open Relation Extraction with Factorization Machines | Petroni, Fabio; Del Corro, Luciano; Gemulla, Rainer | Link | 2015 | c | Conference on Empirical Methods in Natural Language Processing |
24 | ACL | Facts That Matter | Ponza, Marco; Del Corro, Luciano; Weikum, Gerhard | Link | 2018 | c | Conference on Empirical Methods in Natural Language Processing |
25 | Glauber and Claro (2018) | MinIE: minimizing facts in open information extraction | Gashteovski, Kiril; Gemulla, Rainer; Del Corro, Luciano | Link | 2017 | c | Conference on Empirical Methods in Natural Language Processing |
26 | ACL | Dependency-Based Open Information Extraction | Gamallo, Pablo; Garcia, Marcos; Fernández-Lanza, Santiago | Link | 2011 | w | Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP |
28 | Glauber and Claro (2018) | Multilingual Open Information Extraction | Gamallo, Pablo; Garcia, Marcos | Link | 2015 | c | Portuguese Conference on Artificial Intelligence |
29 | ACL | Open Information Extraction from Conjunctive Sentences | Saha, Swarnadeep; Mausam | Link | 2018 | c | International Conference on Computational Linguistics |
30 | ACL | Bootstrapping for Numerical Open IE | Saha, Swarnadeep; Pal, Harinder; Mausam | Link | 2018 | c | Annual Meeting of the Association for Computational Linguistics |
31 | ACL | Demonyms and Compound Relational Nouns in Nominal Open IE | Pal, Harinder; Mausam | Link | 2016 | c | Workshop on Automated Knowledge Base Construction |
33 | Snowball | Open information extraction systems and downstream applications | Mausam | Link | 2016 | c | International Joint Conference on Artificial Intelligence |
34 | Snowball | Distant supervision for information extraction of overlapping relations | Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld | Link | 2011 | c | Annual Meeting of the Association for Computational Linguistics |
35 | Snowball | Learning 5000 relational extractors | R. Hoffmann, C. Zhang, and D. S. Weld. | Link | 2010 | c | Annual Meeting of the Association for Computational Linguistics |
36 | Snowball | Using wikipedia to bootstrap open information extraction | Daniel S. Weld, Raphael Hoffmann, and Fei Wu | Link | 2014 | j | ACM SIGMOD Record |
37 | Snowball | Distant supervision for relation extraction without labeled data | Mike Mintz , Steven Bills , Rion Snow , Dan Jurafsky, | Link | 2009 | c | Annual Meeting of the ACL and International Joint Conference on Natural Language Processing of the AFNLP |
39 | Snowball | Learning to extract relations from the web using minimal supervision. | Bunescu, R. C. and Mooney, R. J | Link | 2007 | c | Annual Meeting of the Association for Computational Linguistics |
40 | Snowball | Subsequence kernels for relation extraction | Razvan C. Bunescu and Raymond J. Mooney | Link | 2006 | c | International Conference on Neural Information Processing Systems |
41 | Snowball | Discovering relations among named entities from large corpora | T. Hasegawa, S. Sekine, and R. Grishman | Link | 2004 | c | Annual Meeting on Association for Computational Linguistics |
42 | Snowball | Preemptive information extraction using unrestricted relation discovery | Yusuke Shinyama and Satoshi Sekine | Link | 2006 | c | Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics |
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 | c | Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing |
46 | Glauber and Claro (2018) | A multi-strategy approach for lexicalizing linked open data | Perera, Rivindu; Nand, Parma | Link | 2015 | c | International Conference on Intelligent Text Processing and Computational Linguistics |
47 | Glauber and Claro (2018) | A probabilistic approach for integrating heterogeneous knowledge sources | Dutta, Arnab; Meilicke, Christian; Ponzetto, Simone Paolo | Link | 2014 | c | European Semantic Web Conference - The Semantic Web: Trends and Challenges |
48 | Glauber and Claro (2018) | 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 | c | Pacific-Asia Conference on Knowledge Discovery and Data Mining |
55 | Snowball | An Unsupervised WordNet-based Algorithm for Relation Extraction | Stevenson, M | Link | 2004 | w | Workshop Programme |
58 | Snowball | Automatic acquisition of domain knowledge for information extraction | R. Yangarber, R. Grishman, P. Tapanainen, S. Huttunen | Link | 2000 | c | International Conference on Computational Linguistics |
59 | Snowball | Automatic extraction of facts, relations, and entities for web-scale knowledge base population. | Nakashole NT (2012) | Link | 2012 | p | PHD thesis |
61 | Glauber and Claro (2018) | Building Relation Extraction Templates via Unsupervised Learning | El-Kilany, Ayman; El Tazi, Neamat; Ezzat, Ehab | Link | 2017 | c | International Database Engineering & Applications Symposium |
64 | Snowball | Clustering for unsupervised relation identification | Benjamin Rosenfeld , Ronen Feldman, | Link | 2007 | c | Conference on Conference on information and knowledge management |
65 | Snowball | Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations | Nanda Kambhatla | Link | 2004 | c | Interactive poster and demonstration sessions |
66 | Snowball | Combining linguistic and statistical analysis to extract relations from web documents. | Fabian M. Suchanek, Georgiana Ifrim, and Gerhard Weikum. | Link | 2006 | c | International Conference on Knowledge Discovery and Data Mining |
67 | Snowball | Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction | Jason Weston, Antoine Bordes, Oksana Yakhnenko, and Nicolas Usunier | Link | 2013 | c | Conference on Empirical Methods in Natural Language Processing |
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 | c | International Conference on Natural Language Processing |
72 | Glauber and Claro (2018) | Discovering relations between noun categories | Mohamed, Thahir P.; Hruschka Jr, Estevam R.; Mitchell, Tom M. | Link | 2011 | c | Conference on Empirical Methods in Natural Language Processing |
73 | Glauber and Claro (2018) | Discovering Relations to Augment a Web-scale Knowledge Base Constructed from the Web | Kim, Jinho; Myaeng, Sung-Hyon | Link | 2016 | c | International Conference on Web Intelligence, Mining and Semantics |
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 | c | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
75 | Snowball | Distantly supervised web relation extraction for knowledge base population. Semantic Web (Preprint) | Augenstein, I., Maynard, D., Ciravegna, F., et al.: | Link | 2016 | j | Semantic Web – Interoperability, Usability, Applicability an IOS Press Journal |
78 | Glauber and Claro (2018) | Effectiveness and Efficiency of Open Relation Extraction | Mesquita, Filipe; Schmidek, Jordan; Barbosa, Denilson | Link | 2013 | c | Conference on Empirical Methods in Natural Language Processing |
79 | Snowball | End-to-end relation extraction using distant supervision from external semantic repositories | T.V.T. Nguyen and A. Moschitti | Link | 2011 | c | Annual Meeting of the Association for Computational Linguistics: Human Language Technologies |
84 | Snowball | Exploring various knowledge in relation extraction | G. Zhou, J. Su, J. Zhang, and M. Zhang | Link | 2004 | c | Annual Meeting on Association for Computational Linguistics |
85 | Glauber and Claro (2018) | Extracting information networks from the blogosphere | Merhav, Yuval; Mesquita, Filipe; Barbosa, Denilson; Yee, Wai Gen; Frieder, Ophir | Link | 2012 | j | ACM Transactions on the Web |
87 | Snowball | Wanderlust: Extracting Semantic Relations from Natural Language Text Using Dependency Grammar Patterns | Alan Akbik and J¨ugen Broß. Wanderlus | Link | 2009 | w | www workshop |
90 | ACL | Graphene: Semantically-Linked Propositions in Open Information Extraction | Cetto, Matthias; Niklaus, Christina; Freitas, André; Handschuh, Siegfried | Link | 2018 | c | International Conference on Computational Linguistics |
92 | ACL | High Recall Open IE for Relation Discovery | Elsahar, Hady; Gravier, Christophe; Laforest, Frederique | Link | 2017 | c | Proceedings of the Eighth International Joint Conference on Natural Language Processing |
99 | Snowball | Information extraction from unstructured web text | A-M. Popescu | Link | 2007 | p | PHD thesis |
102 | Snowball | Joint Inference: a Statistical Approach for Open Information Extraction | Liu, Yongbin; Yang, Bingru | Link | 2012 | j | Applied Mathematics & Information Sciences |
103 | Snowball | Kernel methods for relation extraction | Dmitry Zelenko , Chinatsu Aone , Anthony Richardella, | Link | 2003 | j | The Journal of Machine Learning Research |
106 | ACL | Kraken: N-ary Facts in Open Information Extraction | Akbik, Alan; Loser | Link | 2012 | w | Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction |
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 | c | International Semantic Web Conference |
108 | Snowball | Learning domain-specific information extraction patterns from the web | S. Patwardhan, E. Riloff | Link | 2006 | w | Workshop on Information Extraction Beyond The Document |
110 | Glauber and Claro (2018) | Learning to extract domain-specific relations from complex sentences | Tan, Saravadee Sae; Lim, Tek Yong; Soon, Lay-Ki; Tang, Enya Kong | Link | 2016 | j | Expert systems and applications |
113 | Snowball | LEILA: Learning to Extract Information by Linguistic Analysis | Suchanek, F.M., Ifrim, G., Weikum, G | Link | 2006 | w | Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
114 | Glauber and Claro (2018) | Leveraging linguistic structure for open domain information extraction | Angeli, Gabor; Premkumar, Melvin Johnson; Manning, Christopher D. | Link | 2015 | c | Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing |
115 | Snowball | Modeling relations and their mentions without labeled text | S. Riedel, L. Yao, and A. McCallum | Link | 2010 | c | Joint European Conference on Machine Learning and Knowledge Discovery in Databases |
117 | Snowball | Multi-instance Multi-label Learning for Relation Extraction | Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning | Link | 2012 | c | Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning |
118 | ACL | Nested Propositions in Open Information Extraction | Bhutani, Nikita; Jagadish, H. V.; Radev, Dragomir | Link | 2016 | c | Conference on Empirical Methods in Natural Language Processing |
119 | ACL | Neural Open Information Extraction | Cui, Lei; Wei, Furu; Zhou, Ming | Link | 2018 | c | Annual Meeting of the Association for Computational Linguistics |
120 | Snowball | Open Domain Information Extraction Via Automatic Semantic Labeling. | Moschitti, A.; Morarescu, P.; and Harabagiu, | Link | 2016 | c | Flairs Conference |
122 | ACL | Open Information Extraction Using Wikipedia | Wu, Fei; Weld, Daniel S. | Link | 2010 | c | Annual Meeting of the Association for Computational Linguistics |
123 | Glauber and Claro (2018) | Open information extraction via contextual sentence decomposition | Bast, Hannah; Haussmann, Elmar | Link | 2013 | c | IEEE Seventh International Conference on Semantic Computing |
124 | Glauber and Claro (2018) | Open Information Extraction with Tree Kernels | Xu, Ying; Kim, Mi-Young; Quinn, Kevin; Goebel, Randy; Barbosa, Denilson | Link | 2013 | c | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
125 | Snowball | Open knowledge extraction through compositional language processing. | Benjamin Van Durme and Lenhart Schubert. | Link | 2008 | c | Conference on Semantics in Text Processing |
127 | Glauber and Claro (2018) | Open Relation Extraction Based on Core Dependency Phrase Clustering | Ru, Chengsen; Li, Shasha; Tang, Jintao; Gao, Yi; Wang, Ting | Link | 2017 | c | IEEE Second International Conference on Data Science in Cyberspace |
131 | Snowball | Pattern learning for relation extraction with a hierarchical topic mode | E. Alfonseca, K. Filippova, J.-Y. Delort and G. Garrido | Link | 2012 | c | Annual Meeting of the Association for Computational Linguistics |
132 | Snowball | Patty: A taxonomy of relational patterns with semantic types | Ndapandula Nakashole, Gerhard Weikum, and Fabian Suchanek | Link | 2012 | c | Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning |
136 | ACL | Pocket Knowledge Base Population | Wolfe, Travis; Dredze, Mark; Van Durme, Benjamin | Link | 2017 | c | Annual Meeting of the Association for Computational Linguistics |
138 | Snowball | Pore: Positive-only relation extraction from wikipedia text. | Gang Wang, Yong Yu, and Haiping Zhu. | Link | 2007 | c | International Semantic Web Conference Asian Semantic Web Conference |
140 | Glauber and Claro (2018) | Rdr-based open ie for the web document | Kim, Myung Hee; Compton, Paul; Kim, Yang Sok | Link | 2011 | c | International Conference on Knowledge Capture |
142 | Snowball | Relation extraction from the web using distant supervision. | I. Augenstein, D. Maynard, and F. Ciravegna | Link | 2014 | c | International Conference on Knowledge Engineering and Knowledge Management - Knowledge Engineering and Knowledge Management |
143 | Snowball | Relation extraction with matrix factorization and universal schemas | Sebastian Riedel, Limin Yao, Benjamin M. Marlin, and Andrew McCallum. | Link | 2013 | c | NAACL-HLT |
144 | Snowball | Relational duality: Unsupervised extraction of semantic relations between entities on the web. | D.T. Bollegala, Y. Matsuo, and M. Ishizuka | Link | 2009 | c | International conference on World wide web |
145 | Snowball | Relational learning of pattern-match rules for information extraction | R. Mooney | Link | 1997 | c | Conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence |
147 | Glauber and Claro (2018) | ReNoun: Fact Extraction for Nominal Attributes. | Yahya, Mohamed; Whang, Steven; Gupta, Rahul; Halevy, Alon Y. | Link | 2014 | c | Conference on Empirical Methods in Natural Language Processing |
150 | Snowball | Snowball: Extracting relations from large plain text collections. | E. Agichtein, L. Gravano | Link | 2000 | c | Conference on Digital libraries |
152 | Snowball | StatSnowball: a statistical approach to extracting entity relationships, | Jun Zhu , Zaiqing Nie , Xiaojiang Liu , Bo Zhang , Ji-Rong Wen | Link | 2009 | c | International Conference on World Wide Web |
153 | Snowball | Structured relation discovery using generative models. | Limin Yao, Aria Haghighi, Sebastian Riedel, and Andrew McCallum. | Link | 2011 | c | Conference on Empirical Methods in Natural Language Processing |
154 | ACL | Supervised Open Information Extraction | Stanovsky, Gabriel; Michael, Julian; Zettlemoyer, Luke; Dagan, Ido | Link | 2018 | c | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
155 | Glauber and Claro (2018) | Triple Extraction Using Lexical Pattern-based Syntax Model | Huynh, Ai Loan; Nguyen, Hong Son; Duong, Trong Hai | Link | 2016 | j | Advanced Computational Methods for Knowledge Engineering |
156 | Snowball | Unsupervised discovery of domain-specific knowledge from text. | Dirk Hovy, Chunliang Zhang, Eduard Hovy, and Anselmo Pe nas. | Link | 2011 | c | Annual Meeting of the Association for Computational Linguistics: Human Language Technologies |
157 | Snowball | Unsupervised discovery of scenario-level patterns for information extraction | Roman Yangarber, Ralph Grishman, Pasi Tapanainen, and Silja Huttunen | Link | 2000 | c | Proceedings of the sixth conference on Applied natural language processing |
158 | Snowball | Unsupervised feature selection for relation extraction | Chen, J., Ji, D., Tan, C.L., and Niu, Z. | Link | 2005 | c | International Joint Conference on Natural Language Processing |
159 | Snowball | Unsupervised information extraction approach using graph mutual reinforcement | Hassan, H., Hassan, A. and Emam, O. | Link | 2006 | c | Conference on Empirical Methods in Natural Language Processing |
160 | Snowball | Unsupervised relation discovery with sense disambiguation | Limin Yao, Sebastian Riedel, and Andrew McCallum. | Link | 2012 | c | Annual Meeting of the Association for Computational Linguistics |
161 | Snowball | Unsupervised relation extraction from web documents | Eichler K, Hemsen H, Günter N | Link | 2008 | c | International Conference on Language Resources and Evaluation |
162 | Snowball | Unsupervised relation extraction with general domain knowledge. | Oier Lopez de Lacalle and Mirella Lapata | Link | 2013 | c | Conference on Empirical Methods in Natural Language Processing |
170 | Snowball | Yago2: A spatially and temporally enhanced knowledge base from wikipedia | Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G.: | Link | 2013 | j | Artificial Intelligence |
172 | ACM | HighLife: Higher-arity Fact Harvesting | Patrick | Link | Siu and Gerhard | c | Proceedings of the 2018 World Wide Web Conference |
173 | ACM | Integrating Local Context and Global Cohesiveness for Open Information Extraction | Qi | Link | Ren and Jingbo | c | Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining |
174 | ACM | Learning Dual Retrieval Module for Semi-supervised Relation Extraction | Hongtao | Link | Yan and Meng | c | The World Wide Web Conference |
175 | ACM | Multi-Path Convolutional Neural Network for Distant Supervised Relation Extraction | Yunyang | Link | Zhong and Ning | c | Proceedings of the 2Nd International Conference on Computer Science and Application Engineering |
176 | ACM | Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning | Meng | Link | Ren and Yu | c | Proceedings of the 2018 World Wide Web Conference |
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 | c | 2018 International Joint Conference on Neural Networks (IJCNN) |
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 | c | 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) |
180 | IEEE | Relation Extraction Based on Deep Learning | L. {Xue} and S. {Qing} and Z. {Pengzhou} | Link | 2018 | c | 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) |
181 | Scholar | A Distance Approach for Open Information Extraction Based on Word Vector. | Peiqian, Liu; Xiaojie, Wang | Link | 2018 | j | KSII Transactions on Internet \& Information Systems |
182 | Scholar | A Hierarchical Framework for Relation Extraction with Reinforcement Learning | Takanobu, Ryuichi; Zhang, Tianyang; Liu, Jiexi; Huang, Minlie | Link | 2018 | c | Proceedings of the AAAI Conference on Artificial Intelligence |
187 | Scholar | Adversarial multi-lingual neural relation extraction | Wang, Xiaozhi; Han, Xu; Lin, Yankai; Liu, Zhiyuan; Sun, Maosong | Link | 2018 | c | Proceedings of the 27th International Conference on Computational Linguistics |
188 | Scholar | Adversarial Training for Relation Classification with Attention Based Gate Mechanism | Cao, Pengfei; Chen, Yubo; Liu, Kang; Zhao, Jun | Link | 2018 | c | China Conference on Knowledge Graph and Semantic Computing |
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 | j | CoRR |
196 | Scholar | Large scaled relation extraction with reinforcement learning | Zeng, Xiangrong; He, Shizhu; Liu, Kang; Zhao, Jun | Link | 2018 | c | AAAI conference on artificial inteliggence |
197 | Scholar | Learning Multi-granular Features for Harvesting Knowledge from Free Text | Zhou, Zheng; Wang, Huaming; Li, Zhixing; Hu, Feng; Wang, Guoyin | Link | 2019 | c | International Joint Conference on Rough Sets |
200 | Scholar | Multiple order semantic relation extraction | Song, Shengli; Sun, Yulong; Di, Qiang | Link | 2018 | j | Neural Computing and Applications |
203 | Scholar | Neural Relation Extraction for Knowledge Base Enrichment | Trisedya, Bayu Distiawan; Weikum, Gerhard; Qi, Jianzhong; Zhang, Rui | Link | 2019 | c | Proceedings of the 57th Conference of the Association for Computational Linguistics |
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 | j | Communications of the ACM |
206 | Scholar | Open Information Extraction in Biomedical Literature | Wang, Xuan; Zhang, Yu; Chen, Yinyin; Liu, Liyuan | Link | 2016 | c | International Symposium on Languages in Biology and Medicine |
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 | c | NAACL-HLT 2019 |
209 | Scholar | RCE-OIE: Open Information Extraction Using a Rule-Based Clause Extraction Engine for Semantic Applications | Thenmozhi, D.; Aravindan, Chandrabose | Link | 2018 | j | Recent Findings in Intelligent Computing Techniques |
210 | Scholar | Relation Discovery with Out-of-Relation Knowledge Base as Supervision | Liang, Yan; Liu, Xin; Zhang, Jianwen; Song, Yangqiu | Link | 2019 | c | NAACL-HLT 2019 |
215 | Scholar | Span Based Open Information Extraction | Zhan, Junlang; Zhao, Hai | Link | 2019 | j | arXiv preprint arXiv:1901.10879 |
216 | Scholar | StuffIE: Semantic tagging of unlabeled facets using fine-grained information extraction | Prasojo, Radityo Eko; Kacimi, Mouna; Nutt, Werner | Link | 2018 | c | Proceedings of the 27th ACM International Conference on Information and Knowledge Management |
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 | j | Journal of Biomedical Informatics |
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 | j | Neural Networks |
222 | Science Direct | Feature-enriched matrix factorization for relation extraction | Duc-Thuan Vo and Ebrahim Bagheri | Link | 2019 | j | Information Processing & Management |
223 | Science Direct | HClaimE: A tool for identifying health claims in health news headlines | Shi Yuan and Bei Yu | Link | 2019 | j | Information Processing & Management |
225 | Science Direct | Self-training on refined clause patterns for relation extraction | Duc-Thuan Vo and Ebrahim Bagheri | Link | 2018 | j | Information Processing & Management |
228 | Scopus | A framework for crime data analysis using relationship among named entities | Das, P., Das, A.K., Nayak, J., Pelusi, D. | Link | 2019 | j | Neural Computing and Applications |
232 | Scopus | A hybrid graph model for distant supervision relation extraction | Duan, S., Gao, H., Liu, B., Qi, G. | Link | 2019 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
233 | Scopus | A moderately deep convolutional neural network for relation extraction | Bing, X., Shen, L., Zheng, L. | Link | 2019 | c | ACM International Conference Proceeding Series |
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 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
237 | Scopus | A semieager classifier for open relation extraction | Liu, P., Wang, X. | Link | 2018 | j | Mathematical Problems in Engineering |
239 | Scopus | A walk-based model on entity graphs for relation extraction | Christopoulou, F., Miwa, M., Ananiadou, S. | Link | 2018 | c | ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) |
241 | Scopus | Adversarial learning for distant supervised relation extraction | Zeng, D., Dai, Y., Li, F., Sherratt, R.S., Wang, J. | Link | 2018 | j | Computers, Materials and Continua |
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 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
246 | Scopus | Contextualized Word Embeddings in a Neural Open Information Extraction Model | Sarhan, I., Spruit, M.R. | Link | 2019 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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 | c | WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining |
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 | j | Neural Networks |
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 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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 | j | Artificial Intelligence |
252 | Scopus | End-to-end neural relation extraction using deep biaffine attention | Nguyen, D.Q., Verspoor, K. | Link | 2019 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
253 | Scopus | End-to-end relation extraction using markov logic networks | Pawar, S., Bhattacharya, P., Palshikar, G.K. | Link | 2018 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
254 | Scopus | Ensemble neural relation extraction with adaptive boosting | Yang, D., Wang, S., Li, Z. | Link | 2018 | c | IJCAI International Joint Conference on Artificial Intelligence |
255 | Scopus | Exploring encoder-decoder model for distant supervised relation extraction | Su, S., Jia, N., Cheng, X., Zhu, S., Li, R. | Link | 2018 | c | IJCAI International Joint Conference on Artificial Intelligence |
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 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
261 | Scopus | Joint entity recognition and relation extraction as a multi-head selection problem | Bekoulis, G., Deleu, J., Demeester, T., Develder, C. | Link | 2018 | j | Expert Systems with Applications |
264 | Scopus | Latent relational model for relation extraction | Rossiello, G., Gliozzo, A., Fauceglia, N., Semeraro, G. | Link | 2019 | j | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
268 | Scopus | MSnet: Multi-Head Self-Attention Network for Distantly Supervised Relation Extraction | Sun, T., Zhang, C., Ji, Y., Hu, Z. | Link | 2019 | j | IEEE Access |
269 | Scopus | Open Information Extraction with Meta-pattern Discovery in Biomedical Literature | Wang, X., Zhang, Y., Li, Q., Chen, Y., Han, J. | Link | 2018 | c | ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics |
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 | c | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
272 | Scopus | Relating Legal Entities via Open Information Extraction | Siragusa, G., Nanda, R., De Paiva, V., Di Caro, L. | Link | 2019 | j | Communications in Computer and Information Science |
273 | Scopus | Relation extraction and discovery from free texts via bootstrapping | Yang, Y., Luo, J. | Link | 2018 | s | Proceedings - 2017 10th International Symposium on Computational Intelligence and Design, ISCID 2017 |
278 | Scopus | Robust distant supervision relation extraction via deep reinforcement learning | Qin, P., Xu, W., Wang, W.Y. | Link | 2018 | c | ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) |
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 | c | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
281 | Scopus | Senet for weakly-supervised relation extraction | Liu, J., Chen, G., Guo, J. | Link | 2018 | c | ACM International Conference Proceeding Series |
282 | Scopus | Simple large-scale relation extraction from unstructured text | Christodoulopoulos, C., Mittal, A. | Link | 2019 | c | LREC 2018 - 11th International Conference on Language Resources and Evaluation |