| other,39-4-P82-1035,bq | <term> elllpsis </term> ) , and resolve <term> | referents | </term> ( <term> anaphora </term> ) . This method | #13094 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 (elllpsis), and resolvereferents (anaphora). |
| other,10-5-P82-1035,bq | </term> to aid the understanding of <term> | scruffy texts | </term> has been incorporated into a working | #13109 This method of using expectations to aid the understanding ofscruffy texts has been incorporated into a working computer program called NOMAD, which understands scruffy texts in the domain of Navy messages. |
| other,25-5-P82-1035,bq | <term> NOMAD </term> , which understands <term> | scruffy texts | </term> in the domain of Navy messages . | #13124 This method of using expectations to aid the understanding of scruffy texts has been incorporated into a working computer program called NOMAD, which understandsscruffy texts in the domain of Navy messages. |
| other,17-3-P82-1035,bq | </term> , based both on knowledge of <term> | surface English | </term> and on <term> world knowledge </term> | #13043 Our solution to these problems is to make use of expectations, based both on knowledge ofsurface English and on world knowledge of the situation being described. |
| other,1-4-P82-1035,bq | situation being described . These <term> | syntactic and semantic expectations | </term> can be used to figure out <term> unknown | #13056 Thesesyntactic 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 (elllpsis), and resolve referents (anaphora). |
| other,13-1-P82-1035,bq | under the assumption that the input <term> | text | </term> will be in reasonably neat form , | #12957 Most large text-understanding systems have been designed under the assumption that the inputtext will be in reasonably neat form, e.g., newspaper stories and other edited texts. |
| tech,2-1-P82-1035,bq | executed to yield the answer . Most large <term> | text-understanding systems | </term> have been designed under the assumption | #12946 Most largetext-understanding systems have been designed under the assumption that the input text will be in reasonably neat form, e.g., newspaper stories and other edited texts. |
| other,11-4-P82-1035,bq | expectations </term> can be used to figure out <term> | unknown words | </term> from <term> context </term> , constrain | #13066 These syntactic and semantic expectations can be used to figure outunknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
| other,21-4-P82-1035,bq | possible <term> word-senses </term> of <term> | words with multiple meanings | </term> ( <term> ambiguity </term> ) , fill in | #13076 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses ofwords with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
| other,19-4-P82-1035,bq | context </term> , constrain the possible <term> | word-senses | </term> of <term> words with multiple meanings | #13074 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possibleword-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
| other,21-3-P82-1035,bq | <term> surface English </term> and on <term> | world knowledge | </term> of the situation being described | #13047 Our solution to these problems is to make use of expectations, based both on knowledge of surface English and onworld knowledge of the situation being described. |
