Open Extraction of Fine-Grained Political Statements
作者： David Bamman , Noah A. Smith
DOI: 10.18653/V1/D15-1008
关键词:
摘要: Text data has recently been used as evidence in estimating the political ideologies of individuals, including elites and social media users. While inferences about people are often intrinsic quantity interest, we draw inspiration from open information extraction to identify a new task: inferring import propositions like OBAMA IS A SOCIALIST. We present several models that exploit structure exists between assertions they make learn latent positions at same time, evaluate them on novel dataset judged spectrum.
aclweb.org参考文章(37)
Derek Ruths, Raviv Cohen, Classifying Political Orientation on Twitter: It’s Not Easy! international conference on weblogs and social media. ,(2013)
Thomas P. Minka, Estimating a Dirichlet Distribution ,(2000)
Mark Dredze, Michael J. Paul, You Are What You Tweet: Analyzing Twitter for Public Health international conference on weblogs and social media. ,(2011)
Brice D. L. Acree, Justin H. Gross, Yanchuan Sim, Noah A. Smith, Measuring Ideological Proportions in Political Speeches empirical methods in natural language processing. pp. 91- 101 ,(2013)
Faiyaz Al Zamal, Derek Ruths, Wendy Liu, Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors international conference on weblogs and social media. ,(2012)
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert, An Algorithm for the Principal Component Analysis of Large Data Sets SIAM Journal on Scientific Computing. ,vol. 33, pp. 2580- 2594 ,(2011) , 10.1137/100804139
Maojin Jiang, Shlomo Argamon, Exploiting subjectivity analysis in blogs to improve political leaning categorization Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08. pp. 725- 726 ,(2008) , 10.1145/1390334.1390472
Keith T. Poole, Howard Rosenthal, A Spatial Model for Legislative Roll Call Analysis American Journal of Political Science. ,vol. 29, pp. 357- ,(1985) , 10.2307/2111172
B. Efron, C. Stein, The Jackknife Estimate of Variance Annals of Statistics. ,vol. 9, pp. 586- 596 ,(1981) , 10.1214/AOS/1176345462
T. L. Griffiths, M. Steyvers, Finding scientific topics Proceedings of the National Academy of Sciences of the United States of America. ,vol. 101, pp. 5228- 5235 ,(2004) , 10.1073/PNAS.0307752101