emnlp emnlp2012 emnlp2012-62 emnlp2012-62-reference knowledge-graph by maker-knowledge-mining

62 emnlp-2012-Identifying Constant and Unique Relations by using Time-Series Text


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Author: Yohei Takaku ; Nobuhiro Kaji ; Naoki Yoshinaga ; Masashi Toyoda

Abstract: Because the real world evolves over time, numerous relations between entities written in presently available texts are already obsolete or will potentially evolve in the future. This study aims at resolving the intricacy in consistently compiling relations extracted from text, and presents a method for identifying constancy and uniqueness of the relations in the context of supervised learning. We exploit massive time-series web texts to induce features on the basis of time-series frequency and linguistic cues. Experimental results confirmed that the time-series frequency distributions contributed much to the recall of constancy identification and the precision of the uniqueness identification.


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Michele Banko, Michael J. Cafarella, Stephen Soderland, Matt Broadhead, and Oren Etzioni. 2007. Open information extraction from the web. In Proceedings of IJCAI, pages 2670–2676. Koby Crammer, Ofer Dekel, Joseph Keshet, Shai ShalevShawartz, and Yoram Singer. 2006. Online passiveaggressive algorithms. Journal of Machine Learning Research, 7:551–583. David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, and Chris Welty. 2010. Building Watson: An overview of the DeepQA project. AI Magazine, 31(3):59–79. Joseph L. Fleiss. 1971. Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5):378–382. Dirk Hovy, James Fan, Alfio Gliozzo, Siddharth Patwardhan, and Christopher Welty. 2012. When did that happen? linking events and relations to timestamps. In Proceedings of EACL, pages 185–193. Richard J. Landis and Gary G. Koch. 1977. The measurement of observer agreement for categorical data. — Biometrics, 1(33): 159–174. Thomas Lin, Mausam, and Oren Etzioni. 2010. Identifying functional relation in web text. In Proceedings of EMNLP, pages 1266–1276. Xiao Ling and Daniel S. Weld. 2010. Temporal information extraction. In Proceedings of AAAI, pages 1385– 1390. Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL-IJCNLP, pages 1003–101 1. Patrick Pantel and Marco Pennacchiotti. 2006. Espresso: Leveraging generic patterns for automatically harvesting semantic relations. In Proceedings of ACL, pages 113–120. Alan Ritter, Doug Downey, Stephen Soderland, and Oren Etzioni. 2008. It’s a contradiction—no, it’s not: A case study using functional relations. In Proceedings of EMNLP, pages 11–20. Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007. YAGO: A core of semantic knowledge unifying WordNet and Wikipedia. In Proceedings of WWW, pages 697–706. Marc Verhagen, Robert Gaizauskas, Frank Schilder, Mark Hepple, Graham Katz, and James Pustejovsky. 2007. SemEval-2007 task 15: TempEval temporal relation identification. In Proceedings of SemEval, pages 75–80. Marc Verhagen, Roser Sauri, Tommaso Caselli, and James Pustejovsky. 2010. SemEval-2010 task 13: TempEval-2. In Proceedings of SemEval, pages 57– 62. Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol, and Gerhard Weikum. 2010. Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia. In Proceedings of EDBT, pages 697– 700. Gerhard Weikum, Srikanta Bedathur, and Ralf Schenkel. 2011. Temporal knowledge for timely intelligence. In Proceedings of BIRTE, pages 1–6. Fei Wu and Daniel S. Weld. 2010. Open information extraction using Wikipedia. In Proceedings of ACL, pages 118–127. Fei Wu, Raphael Hoffmann, and Daniel S. Weld. 2008. Information extraction from Wikipedia: moving down the long tail. In Proceedings of KDD, pages 73 1–739. Naoki Yoshinaga and Masaru Kitsuregawa. 2009. Polynomial to linear: Efficient classification with conjunctive features. In Proceedings of EMNLP, pages 1542– 1551. Naoki Yoshinaga and Masaru Kitsuregawa. 2010. Kernel slicing: Scalable online training with conjunctive features. In Proceedings of COLING, pages 1245–1253. Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, and JiRong Wen. 2009. StatSnowball: a statistical approach to extracting entity relationships. In Proceedings of WWW, pages 101–1 10. 892