| 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 input text will be in reasonably neat form, e.g., newspaper stories and other edited texts. |
| other,14-4-P82-1035,bq | out <term> unknown words </term> from <term> | context | </term> , constrain the possible <term> word-senses | #13069 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 resolve referents (anaphora). |
| other,26-4-P82-1035,bq | words with multiple meanings </term> ( <term> | ambiguity | </term> ) , fill in <term> missing words </term> | #13081 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 resolve referents (anaphora). |
| other,34-4-P82-1035,bq | fill in <term> missing words </term> ( <term> | elllpsis | </term> ) , and resolve <term> referents </term> | #13089 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 resolve referents (anaphora). |
| other,41-4-P82-1035,bq | and resolve <term> referents </term> ( <term> | anaphora | </term> ) . This method of using <term> expectations | #13096 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 resolve referents ( anaphora ). |
