Understanding script-based stories using commonsense reasoning

By Erik T. Mueller. 2004

76 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Natural Language Processing

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Citations in the corpus

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (2016, background): “This includes research on understanding newswire involving terrorism scripts (Mueller, 2002), stories about people in a restaurant where a reasonable number of questions about time and space can be answered (Mueller, 2007), and generating stories from fairy tales (McIntyre and Lapata, 2009).”
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge (2014, background): “Effective question answering and summarization are impossible without a form of story understanding, which in turn has been shown to benefit from access to databases of script knowledge (Mueller, 2004; Miikkulainen, 1995).”
Learning Script Knowledge with Web Experiments (2010, background): “It has long been recognized that text understanding systems would benefit from the implicit information represented by a script (Cullingford, 1977; Mueller, 2004; Miikkulainen, 1995).”
Using Stories to Teach Human Values to Artificial Agents (2016, background): “…narrative intelligence has sought to create computational intelligences that can answer questions about stories (Schank and Abelson 1977; Mueller 2004), generate stories (see Gerv´as (2009) for an overview and (Riedl and Young 2010; Swanson and Gordon 2012; Li et al. 2013) for recent…”
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA (2020, background): “One way to enable a machine to understand a video story is to train the machine to answer questions about the video story (Schank and Abelson 2013; Mueller 2004).”