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The berkeley framenet project
Collin F Baker, Charles J Fillmore, and John B Lowe · 1998
Earlier work this paper cites.
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A. Blum and T. Mitchell · 1998
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Michael Collins and Scott Miller · 1998
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Sergey Brin · 1999
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Snowball: Extracting relations from large plain-text collections
Eugene Agichtein and Luis Gravano · 2000
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Scott Miller, Heidi Fox, Lance Ramshaw, and Ralph Weischedel · 2000
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Yoshua Bengio, R´ejean Ducharme, and Pascal Vincent · 2001
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Michael Collins and Nigel Duffy · 2001
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Dirt – discovery of inference rules from text
Dekang Lin and Patrick Pantel · 2001
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Daniel Gildea and Daniel Jurafsky · 2002
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Paul Kingsbury and Martha Palmer · 2002
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Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins · 2002
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Learning surface text patterns for a question answering system
Deepak Ravichandran and Eduard Hovy · 2002
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Probabilistic reasoning for entity & relation recognition
Dan Roth and Wen-tau Yih · 2002
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Learning from labeled and unlabeled data with label propagation
Zhu Xiaojin and Ghahramani Zoubin · 2002
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Latent dirichlet allocation
Andrew Ng David Blei and Michael Jordan · 2003
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Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella · 2003
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Dependency tree kernels for relation extraction
Aron Culotta and Jeffrey Sorensen · 2004
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A linear programming formulation for global inference in natural language tasks
W. Yih D. Roth · 2004
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Discovering relations among named entities from large corpora
Takaaki Hasegawa, Satoshi Sekine, and Ralph Grishman · 2004
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Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations
N. Kambhatla · 2004
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Tides extraction (ace) 2003 multilingual training data ldc2004t09. web download
et al. Mitchell, Alexis · 2004
Earlier work this paper cites.
Semi-markov conditional random fields for information extraction
Sunita Sarawagi and William W. Cohen · 2004
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Weakly-supervised relation classification for information extraction
Zhu Zhang · 2004
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A shortest path dependency kernel for relation extraction
Razvan C Bunescu and Raymond J Mooney · 2005
Earlier work this paper cites.
Unsupervised feature selection for relation extraction
Jinxiu Chen, Donghong Ji, Chew Lim Tan, and Zhengyu Niu · 2005
Earlier work this paper cites.
A survey of current work in biomedical text mining
Aaron M Cohen and William R Hersh · 2005
Earlier work this paper cites.
Coreference resolution: A survey
Pradheep Elango · 2005
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Exploring various knowledge in relation extraction
Zhou GuoDong, Su Jian, Zhang Jie, and Zhang Min · 2005
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Shallow semantics for relation extraction
Sanda Harabagiu, Cosmin Adrian Bejan, and Paul Morarescu · 2005
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Simple algorithms for complex relation extraction with applications to biomedical ie
Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin, and Pete White · 2005
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Ace 2004 multilingual training corpus ldc2005t09. web download
et al. Mitchell, Alexis · 2005
Earlier work this paper cites.
Subsequence kernels for relation extraction
Raymond J Mooney and Razvan C Bunescu · 2005
Earlier work this paper cites.
Unsupervised named-entity extraction from the web: An experimental study
Doug Downey Ana-Maria Popescu Tal Shaked Stephen Soderland Daniel S.Weld Oren Etzioni, Michael Cafarella and Alexander Yates · 2005
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Extracting relations with integrated information using kernel methods
Shubin Zhao and Ralph Grishman · 2005
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Relation extraction using label propagation based semi-supervised learning
Jinxiu Chen, Donghong Ji, Chew Lim Tan, and Zhengyu Niu · 2006
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Joint extraction of entities and relations for opinion recognition
Yejin Choi, Eric Breck, and Claire Cardie · 2006
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Boosting unsupervised relation extraction by using ner
Ronen Feldman and Benjamin Rosenfeld · 2006
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Improving semi-supervised acquisition of relation extraction patterns
Mark A Greenwood and Mark Stevenson · 2006
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Minority vote: at-least-n voting improves recall for extracting relations
Nanda Kambhatla · 2006
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Information Extraction: Algorithms and Prospects in a Retrieval Context
M.-F. Moens · 2006
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Espresso: Leveraging generic patterns for automatically harvesting semantic relations
Patrick Pantel and Marco Pennacchiotti · 2006
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Investigating a generic paraphrase-based approach for relation extraction
Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, and Alberto Lavelli · 2006
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Ures: an unsupervised web relation extraction system
Benjamin Rosenfeld and Ronen Feldman · 2006
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Ace 2007 multilingual training corpus ldc2014t18. web download
et al. Song, Zhiyi · 2006
Earlier work this paper cites.
Ace 2005 multilingual training corpus ldc2006t06. dvd
et al. Walker, Christopher · 2006
Earlier work this paper cites.
Exploring syntactic features for relation extraction using a convolution tree kernel
Min Zhang, Jie Zhang, and Jian Su · 2006
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A composite kernel to extract relations between entities with both flat and structured features
Min Zhang, Jie Zhang, Jian Su, and Guodong Zhou · 2006
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A survey on relation extraction
Nguyen Bach and Sameer Badaskar · 2007
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Open information extraction for the web
Michele Banko, Michael J Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni · 2007
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Using the web to reduce data sparseness in pattern-based information extraction
Sebastian Blohm and Philipp Cimiano · 2007
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Learning to extract relations from the web using minimal supervision
Razvan Bunescu and Raymond Mooney · 2007
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A systematic exploration of the feature space for relation extraction
Jing Jiang and ChengXiang Zhai · 2007
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A survey of named entity recognition and classification
D. Nadeau and S. Sekine · 2007
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Exploiting syntactic and semantic information for relation extraction from wikipedia
Dat PT Nguyen, Yutaka Matsuo, and Mitsuru Ishizuka · 2007
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Relation extraction from wikipedia using subtree mining
Dat PT Nguyen, Yutaka Matsuo, and Mitsuru Ishizuka · 2007
End-to-end relation extraction using distant supervision from external semantic repositories
Truc-Vien T Nguyen and Alessandro Moschitti · 2011
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Joint distant and direct supervision for relation extraction
Truc-Vien T Nguyen and Alessandro Moschitti · 2011
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Semi-supervised relation extraction with large-scale word clustering
Ang Sun, Ralph Grishman, and Satoshi Sekine · 2011
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Extracting relations within and across sentences
Kumutha Swampillai and Mark Stevenson · 2011
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Relation extraction with relation topics
Chang Wang, James Fan, Aditya Kalyanpur, and David Gondek · 2011
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Structured relation discovery using generative models
Limin Yao, Aria Haghighi, Sebastian Riedel, and Andrew McCallum · 2011
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Relation extraction using convolution tree kernel expanded with entity features
Longhua Qian, Guodong Zhou, Qiaomin Zhu, and Peide Qian · 2007
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Using corpus statistics on entities to improve semi-supervised relation extraction from the web
Benjamin Rosenfeld and Ronen Feldman · 2007
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Global inference for entity and relation identification via a linear programming formulation
Dan Roth and Wen-tau Yih · 2007
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Yago: a core of semantic knowledge
Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum · 2007
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A seed-driven bottom-up machine learning framework for extracting relations of various complexity
Feiyu Xu, Hans Uszkoreit, and Hong Li · 2007
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Tree kernel-based relation extraction with context-sensitive structured parse tree information
GuoDong ZHOU, Min Zhang, Dong Hong Ji, and Qiaoming Zhu · 2007
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Kraken: N-ary facts in open information extraction
Alan Akbik and Alexander Löser · 2012
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Dependency-based open information extraction
Pablo Gamallo, Marcos Garcia, and Santiago Fernández-Lanza · 2012
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Datasets for generic relation extraction
Ben Hachey, Claire Grover, and Richard Tobin · 2012
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A graph-based cross-lingual projection approach for weakly supervised relation extraction
Seokhwan Kim and Gary Geunbae Lee · 2012
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Large-scale learning of relation-extraction rules with distant supervision from the web
Sebastian Krause, Hong Li, Hans Uszkoreit, and Feiyu Xu · 2012
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Techniques for named entity recognition: A survey
G. K. Palshikar · 2012
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Semantic compositionality through recursive matrix-vector spaces
Richard Socher, Brody Huval, Christopher D Manning, and Andrew Y Ng · 2012
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Active learning for relation type extension with local and global data views
Ang Sun and Ralph Grishman · 2012
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Multi-instance multi-label learning for relation extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D Manning · 2012
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Reducing wrong labels in distant supervision for relation extraction
Shingo Takamatsu, Issei Sato, and Hiroshi Nakagawa · 2012
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Relation extraction and scoring in deepqa
Chang Wang, Aditya Kalyanpur, James Fan, Branimir K Boguraev, and DC Gondek · 2012
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Big data versus the crowd: Looking for relationships in all the right places
Ce Zhang, Feng Niu, Christopher Ré, and Jude Shavlik · 2012
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Ontological smoothing for relation extraction with minimal supervision
Congle Zhang, Raphael Hoffmann, and Daniel S Weld · 2012
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A unified active learning framework for biomedical relation extraction
Hong-Tao Zhang, Min-Lie Huang, and Xiao-Yan Zhu · 2012
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A review on relation extraction with an eye on portuguese
Sandra Collovini de Abreu, Tiago Luis Bonamigo, and Renata Vieira · 2013
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Unsupervised relation extraction with general domain knowledge
Oier Lopez de Lacalle and Mirella Lapata · 2013
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An efficient active learning framework for new relation types
Lisheng Fu and Ralph Grishman · 2013
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Simple customization of recursive neural networks for semantic relation classification
Kazuma Hashimoto, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama · 2013
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Unsupervised induction of cross-lingual semantic relations
Mike Lewis and Mark Steedman · 2013
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Effectiveness and efficiency of open relation extraction
Filipe Mesquita, Jordan Schmidek, and Denilson Barbosa · 2013
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Distant supervision for relation extraction with an incomplete knowledge base
Bonan Min, Ralph Grishman, Li Wan, Chang Wang, and David Gondek · 2013
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Semi-supervised relation extraction using em algorithm
Sachin Pawar, Pushpak Bhattacharyya, and Girish Keshav Palshikar · 2013
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Embedding semantic similarity in tree kernels for domain adaptation of relation extraction
Barbara Plank and Alessandro Moschitti · 2013
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Relation extraction with matrix factorization and universal schemas
Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M Marlin · 2013
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Joint inference of entities, relations, and coreference
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, and Andrew McCallum · 2013
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Filling knowledge base gaps for distant supervision of relation extraction
Wei Xu, Raphael Hoffmann, Le Zhao, and Ralph Grishman · 2013
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Towards accurate distant supervision for relational facts extraction
Xingxing Zhang, Jianwen Zhang, Junyu Zeng, Jun Yan, Zheng Chen, and Zhifang Sui · 2013
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Combining distant and partial supervision for relation extraction
Gabor Angeli, Julie Tibshirani, Jean Y Wu, and Christopher D Manning · 2014
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Typed tensor decomposition of knowledge bases for relation extraction
Kai-Wei Chang, Wen-tau Yih, Bishan Yang, and Christopher Meek · 2014
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Encoding relation requirements for relation extraction via joint inference
Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, and Dongyan Zhao · 2014
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Distant supervision for relation extraction with matrix completion
Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, and Edward Y Chang · 2014
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A convex relaxation for weakly supervised relation extraction
Edouard Grave · 2014
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Semantic consistency: A local subspace based method for distant supervised relation extraction
Xianpei Han and Le Sun · 2014
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Type-aware distantly supervised relation extraction with linked arguments
Mitchell Koch, John Gilmer, Stephen Soderland, and Daniel S Weld · 2014
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Incremental joint extraction of entity mentions and relations
Qi Li and Heng Ji · 2014
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Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki · 2014
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Noisy or-based model for relation extraction using distant supervision
Ajay Nagesh, Gholamreza Haffari, and Ganesh Ramakrishnan · 2014
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Robust domain adaptation for relation extraction via clustering consistency
Minh Luan Nguyen, Ivor W Tsang, Kian Ming A Chai, and Hai Leong Chieu · 2014
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Employing word representations and regularization for domain adaptation of relation extraction
Thien Huu Nguyen and Ralph Grishman · 2014
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Infusion of labeled data into distant supervision for relation extraction
Maria Pershina, Bonan Min, Wei Xu, and Ralph Grishman · 2014
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A feature-enriched tree kernel for relation extraction
Le Sun and Xianpei Han · 2014
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Bilingual active learning for relation classification via pseudo parallel corpora
Longhua Qian Haotian Hui Ya’nan, Hu Guodong Zhou, and Qiaoming Zhu · 2014
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Exploring fine-grained entity type constraints for distantly supervised relation extraction
Liheng Xu Yang Liu, Kang Liu and Jun Zhao · 2014
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Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao · 2014
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Biomedical relation extraction: From binary to complex
Deyu Zhou, Dayou Zhong, and Yulan He · 2014
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