Learning Topics and Positions from Debatepedia
We explore Debatepedia, a communityauthored encyclopedia of sociopolitical debates, as evidence for inferring a lowdimensional, human-interpretable representation in the domain of issues and positions. We introduce a generative model positing latent topics and cross-cutting positions that gives spec...
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sg-smu-ink.sis_research-30582016-04-17T00:42:51Z Learning Topics and Positions from Debatepedia GOTTOPATI, Swapna QIU, Minghui SIM, Yanchuan JIANG, Jing SMITH, Noah We explore Debatepedia, a communityauthored encyclopedia of sociopolitical debates, as evidence for inferring a lowdimensional, human-interpretable representation in the domain of issues and positions. We introduce a generative model positing latent topics and cross-cutting positions that gives special treatment to person mentions and opinion words. We evaluate the resulting representation’s usefulness in attaching opinionated documents to arguments and its consistency with human judgments about positions. 2013-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2059 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3058&context=sis_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing GOTTOPATI, Swapna QIU, Minghui SIM, Yanchuan JIANG, Jing SMITH, Noah Learning Topics and Positions from Debatepedia |
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We explore Debatepedia, a communityauthored encyclopedia of sociopolitical debates, as evidence for inferring a lowdimensional, human-interpretable representation in the domain of issues and positions. We introduce a generative model positing latent topics and cross-cutting positions that gives special treatment to person mentions and opinion words. We evaluate the resulting representation’s usefulness in attaching opinionated documents to arguments and its consistency with human judgments about positions. |
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text |
author |
GOTTOPATI, Swapna QIU, Minghui SIM, Yanchuan JIANG, Jing SMITH, Noah |
author_facet |
GOTTOPATI, Swapna QIU, Minghui SIM, Yanchuan JIANG, Jing SMITH, Noah |
author_sort |
GOTTOPATI, Swapna |
title |
Learning Topics and Positions from Debatepedia |
title_short |
Learning Topics and Positions from Debatepedia |
title_full |
Learning Topics and Positions from Debatepedia |
title_fullStr |
Learning Topics and Positions from Debatepedia |
title_full_unstemmed |
Learning Topics and Positions from Debatepedia |
title_sort |
learning topics and positions from debatepedia |
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Institutional Knowledge at Singapore Management University |
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2013 |
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https://ink.library.smu.edu.sg/sis_research/2059 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3058&context=sis_research |
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