Scripts, Plans and Knowledge

By Roger C. Schank, Robert P. Abelson. 1975

Subfields: Natural Language Processing, Knowledge Graphs & Representation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

In Knowledge Graphs & Representation

Citations in the corpus

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference (2018, background): “An alternate thread of work has been to learn scripts: high-level representations of event chains (Schank and Abelson, 1975; Chambers and Juraf-sky, 2009).”
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound (2022, methodology): “We experience and learn from it using all of our senses, reasoning over them temporally through multimodal script knowledge [98, 126].”
MERLOT: Multimodal Neural Script Knowledge Models (2021, background): “Teaching machines this type of script knowledge [95] is a signiﬁcant challenge in no small part because enumerating all facts, inferences, and counterfactuals is prohibitive.”
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge (2018, background): “Scripts are sequences of events describing stereotypical human activities (also called scenarios), for example baking a cake or taking a bus (Schank and Abelson, 1975).”
Machine Common Sense Concept Paper (2018, background): “…logics [6], description logics [7], and qualitative reasoning [8]), less formal knowledge‐based approaches (e.g., frames [9], and scripts [10]), and a number of efforts to create logic‐based ontologies (e.g., WordNet [11], VerbNet [12], SUMO [13], YAGO [14], DOLCE [15], and hundreds of…”
Discourse-Aware Neural Rewards for Coherent Text Generation (2018, background): “Previous work in learning script knowledge (Schank and Abelson, 1975) has focused on extracting scripts from long texts (Chambers and Jurafsky, 2009; Pichotta and Mooney, 2016), with some of that work focusing on recipes (Kiddon et al.”
Interscript: A dataset for interactive learning of scripts through error feedback (2021, background): “Scripts (Schank and Abelson 1975) are an efﬁ-cient way of capturing information about the sub-events and sequences that form a complex event.”
SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge (2018, background): “Scripts are sequences of events describing stereotypical human activities (also called scenarios ), for example baking a cake, taking a bus, etc. (Schank and Abelson, 1975).”
Metaphors We Think With: The Role of Metaphor in Reasoning (2011, result): “Our results suggest that even fleeting and seemingly unnoticed metaphors in natural language can instantiate complex knowledge structures and influence people’s reasoning in a way that is similar to the role that schemas [20,21], scripts [22,23], and frames [24] have been argued to play in reasoning”
The Importance of Modeling Social Factors of Language: Theory and Practice (2021, background): “Prior research on dialogue (Schank and Abelson, 1975) accounted for (social) context as “scripts”, but framed it in terms of content rather than social factors.”