acl acl2011 acl2011-286 acl2011-286-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Apoorv Agarwal
Abstract: In my thesis, Ipropose to build a system that would enable extraction of social interactions from texts. To date Ihave defined a comprehensive set of social events and built a preliminary system that extracts social events from news articles. Iplan to improve the performance of my current system by incorporating semantic information. Using domain adaptation techniques, Ipropose to apply my system to a wide range of genres. By extracting linguistic constructs relevant to social interactions, I will be able to empirically analyze different kinds of linguistic constructs that people use to express social interactions. Lastly, I will attempt to make convolution kernels more scalable and interpretable.
Apoorv Agarwal and Owen Rambow. 2010. Automatic detection and classification of social events. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Apoorv Agarwal, Fadi Biadsy, and Kathleen Mckeown. 2009. Contextual phrase-level polarity analysis using 1I do not mention sentiment analysis anywhere else in my proposal since I will simply use my earlier work. lexical affect scoring and syntactic n-grams. Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 24–32. Apoorv Agarwal, Owen C. Rambow, and Rebecca J. Passonneau. 2010. Annotation scheme for social network extraction from text. In Proceedings of the Fourth Linguistic Annotation Workshop. C. Baker and C. Fillmore. 1998. The berkeley framenet project. Proceedings of the 17th international conference on Computational linguistics, 1. Chris Burges. 1998. A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery. G. Carenini, R. T. Ng, and X. Zhou. 2005. Scalable discovery of hidden emails from large folders. Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, pages 544–549. Asli Celikyilmaz, Dilek Hakkani-Tur, Hua He, Greg Kondrak, and Denilson Barbosa. 2010. The actortopic model for extracting social networks in literary narrative. NIPS Workshop: Machine Learning for Social Computing. K. L. Clarkson, E. Hazan, and D. P. Woodruff. 2010. Sublinear optimization for machine learning. 51st Annual IEEE Symposium on Foundations of Computer Science, pages 449 –457. M. Collins and N. Duffy. 2002. Convolution kernels for natural language. In Advances in neural information processing systems. Aron Culotta and Sorensen Jeffrey. 2004. Dependency tree kernels for relation extraction. In Proceedings of the 42ndMeeting oftheAssociationfor Computational Linguistics (ACL’04), Main Volume, pages 423–429, Barcelona, Spain, July. G. Doddington, A. Mitchell, M. Przybocki, L. Ramshaw, S. Strassel, and R. Weischedel. 2004. The automatic content extraction (ace) program–tasks, data, and evaluation. LREC, pages 837–840. P. Domingos and M. Richardson. 2003. Mining the network value of customers. In Proceedings of the 7th International Conference on Knowledge Discovery and Data Mining, pages 57–66. David K. Elson, Nicholas Dames, and Kathleen R. McKeown. 2010. Extracting social networks from literary fiction. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 138–147. David Haussler. 1999. Convolution kernels on discrete structures. Technical report, University of California at Santa Cruz. Jianming He, Wesley W. Chu, and Zhenyu (Victor) Liu. 2006. Inferring privacy information from social net116 Intelligence and Security Informatics, pages works. 154–165. Hal Daume III. 2007. Frustratingly easy domain adaptation. Annual Meeting-Association For Computational Linguistics. D. Kempe, J. Kleinberg, and E. Tardos. 2003. Maximizing the spread of influence through a social network. Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 137–146. Beth Levin. 1993. English verb classes and alternations: A preliminary investigation. The University of Chicago Press. J. Lindamood, R. Heatherly, M. Kantarcioglu, and B. Thuraisingham. 2009. Inferring private information using social network dataset. WWW. Franco Moretti. 2005. Graphs, Maps, Trees: Abstract Models for a Literary History. Verso. A. Moschitti, S. Quarteroni, and R. Basili. 2007. Exploiting syntactic and shallow semantic kernels for question answer classification. Proceedings of the 45th Conference of the Association for Computational Linguistics (ACL). A. Moschitti, D. Pighin, and R. Basili. 2008. Tree kernels for semantic role labeling. Computational Linguistics, 34. Truc-Vien T. Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Convolution kernels on constituent, dependency and sequential structures for relation extraction. Conference on Empirical Methods in Natural Language Processing. Raphael Pelossof and Zhiliang Ying. 2010. The attentive perceptron. CoRR, abs/1009.5972. D. Pighin and A. Moschitti. 2009. Reverse engineering of tree kernel feature spaces. Proceedings of the Conference on EMNLP, pages 111–120. Ryan Rowe, German Creamer, Shlomo Hershkop, and Salvatore J Stolfo. 2007. Automated social hierarchy detection through email network analysis. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 109–1 17. Karin Kipper Schuler. 2005. Verbnet: a broadcoverage, comprehensive verb lexicon. Ph.D. thesis, University of Pennsylvania, Philadelphia, PA, USA. AAI3179808. D. Zelenko, C. Aone, and A. Richardella. 2002. Kernel methods for relation extraction. In Proceedings of the EMNLP. Elena Zheleva and Lise Getoor. 2009. To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. Proceedings of the 18th international conference on World wide web, pages 531–540.