A Unified Theory of Inference for Text Understanding

By Peter Norvig. 1986

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

Citations in the corpus

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020, background): “rior knowledge. Perhaps most importantly, (d) they don't produce rich cognitive models that could be passed to reasoners as their output. Peter Norvig's dissertation on story understanding (Norvig, 1986) attempted to do something like this in a classic symbol-manipulation framework, as was”
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task (2016, neutral): “, (Norvig, 1978)).”
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning (2019, background): “, understanding what is not stated yet obviously true (Norvig, 1987).”
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes (2018, background): “We believe that recipe comprehension is an elusive challenge and might be seen as important milestone in the long-standing goal of artificial intelligence and machine reasoning (Norvig, 1987; Bottou, 2014).”
Syntactic/Semantic Structures for Textual Entailment Recognition (2010, background): “, (Norvig, 1987)) as well as more recent ones (e.”
Question Answering from Frequently Asked Question Files: Experiences with the FAQ FINDER System (1997, background): “The second, perhaps more serious, concern is the translation of natural language inputs into the right knowledge representation language that the inference mechanism supports (Norvig, 1987): the natural language understanding problem which we do not seek to tackle head-on.”