CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Can we derive general world knowledge from texts?
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Large-scale extraction and use of knowledge from text
Proceedings of the fifth international conference on Knowledge capture
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Quantifier scope disambiguation using extracted pragmatic knowledge: preliminary results
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Using query patterns to learn the duration of events
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Discovering commonsense entailment rules implicit in sentences
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Reporting bias and knowledge acquisition
Proceedings of the 2013 workshop on Automated knowledge base construction
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Commonsense reasoning requires knowledge about the frequency with which ordinary events and activities occur: How often do people eat a sandwich, go to sleep, write a book, or get married? This paper introduces work to acquire a knowledge base pairing factoids about such events with frequency categories learned from simple textual patterns. We are releasing a collection of the resulting event frequencies, which are evaluated for accuracy, and we demonstrate an initial application of the results to the problem of knowledge refinement.