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Andrew S. Gordon
Researcher at University of Southern California
Publications - 123
Citations - 2333
Andrew S. Gordon is an academic researcher from University of Southern California. The author has contributed to research in topics: Commonsense reasoning & Commonsense knowledge. The author has an hindex of 24, co-authored 123 publications receiving 1945 citations. Previous affiliations of Andrew S. Gordon include University of Koblenz and Landau & Lingnan University.
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Proceedings Article
Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
TL;DR: The Choice Of Plausible Alternatives (COPA) evaluation as discussed by the authors uses a forced-choice format, where each question gives a premise and two plausible causes or effects, where the correct choice is the alternative that is more plausible than the other.
Proceedings Article
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
TL;DR: The two systems that competed in this task as part of SemEval-2012 are described, and their results are compared to those achieved in previously published research.
Proceedings Article
Identifying Personal Stories in Millions of Weblog Entries
Andrew S. Gordon,Reid Swanson +1 more
TL;DR: Efforts to develop a standard corpus for researchers in this area by identifying personal stories in the tens of millions of blog posts in the ICWSM 2009 Spinn3r Dataset are described.
Journal ArticleDOI
Say Anything: Using Textual Case-Based Reasoning to Enable Open-Domain Interactive Storytelling
Reid Swanson,Andrew S. Gordon +1 more
TL;DR: This article describes Say Anything, a new interactive storytelling system that collaboratively writes textual narratives with human users and describes a series of evaluations of the system’s ability to produce coherent and entertaining stories, and compares these narratives with single-author stories posted to internet weblogs.
Proceedings Article
Commonsense causal reasoning using millions of personal stories
TL;DR: Casting the commonsense causal reasoning problem as a Choice of Plausible Alternatives, four experiments that compare various statistical and information retrieval approaches to exploit causal information in story corpora are described.