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• W1915703799 abstract "Most large text-understanding systems have been designed under the assumption that the input text will be in reasonably neat form (for example, newspaper stories and other edited texts). However, a great deal of natural language text (for example, memos, messages, rough drafts, conversation transcripts, etc.) have features that differ significantly from neat texts, posing special problems for readers, such as misspelled words, missing words, poor syntactic construction, unclear or ambiguous interpretation, missing crucial punctuation, etc. Our solution to these problems is to make use of expectations, based both on knowledge of surface English and on world knowledge of the situation being described. These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word senses of words with multiple meanings (ambiguity), fill in missing words (ellipsis), and resolve referents (anaphora). This method of using expectations to aid the understanding of texts has been incorporated into a working computer program called NOMAD, which understands scruffy texts in the domain of Navy ship-to-shore messages." @default.
• W1915703799 created "2016-06-24" @default.
• W1915703799 creator A5037690594 @default.
• W1915703799 date "1983-07-01" @default.
• W1915703799 modified "2023-09-22" @default.
• W1915703799 title "The NOMAD system: expectation-based detection and correction of errors during understanding of syntactically and semantically ill-formed text" @default.
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