Learning Schemata for Natural Language Processing
By Raymond J. Mooney, Gerald DeJong. 1985
Subfields: Natural Language Processing
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
- Yejin Choi
- Mohit Bansal
- Luke S. Zettlemoyer
- Mirella Lapata
- Christopher D. Manning
- Percy Liang
- Richard Socher
- Graham Neubig
Citations in the corpus
- Experience Grounds Language (2020, background): “For example, frames and scripts (Schank and Abelson, 1977; Charniak, 1977; Dejong, 1981; Mooney and Dejong, 1985) require understanding often unstated sets of pre- and post-conditions about the world.”
- Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training (2018, methodology): “The use of scripts in AI dates back to the 1970s (Minksy, 1975; Schank and Abelson, 1977; Mooney and DeJong, 1985).”
- Learning Semantic Parsers: An Important but Under-Studied Problem (2004, background): “…the mid 1980's focused on attempting to relieve the knowledgeengineering bottleneck by using explanation-based learning (EBL) to automatically acquire the larger knowledge structures (scripts or schemas) needed for narrative understanding (DeJong 1981; Mooney & DeJong 1985; DeJong & Mooney 1986).”
- Unsupervised Learning of Narrative Event Chains (2008, background): “In part due to its complexity, automatic induction has not been addressed since the early non-statistical work of Mooney and DeJong (1985).”
- Story Comprehension for Predicting What Happens Next (2017, background): “cuses on representing text using a prototypical sequences of events, their participants and causal relationships between them, called scripts (Schank and Abelson, 1977; Mooney and DeJong, 1985).”
- Do Long-Range Language Models Actually Use Long-Range Context? (2021, background): “…requires modeling various discourse-level phenomena, including anaphora (Hobbs, 1979; Grosz et al., 1995), argu-ment structure (Grimshaw, 1990), narrative scripts and trajectories (Schank and Abelson, 1977; Labov and Waletzky, 1997), and causal links between concepts (Mooney and DeJong, 1985).”
- Evaluating Explanations (1988, background): “Explanation-based learners like GENESIS [Mooney and DeJong, 85) do constructive explanation: they try to link observed facts to motivating goals and the plans that achieve them.”