other,11-2-P82-1035,bq natural language texts </term> e.g. , <term> memos </term> , rough <term> drafts </term> , <term>
other,14-2-P82-1035,bq </term> e.g. , <term> memos </term> , rough <term> drafts </term> , <term> conversation transcripts </term>
other,10-3-P82-1035,bq these problems is to make use of <term> expectations </term> , based both on knowledge of <term>
other,19-4-P82-1035,bq context </term> , constrain the possible <term> word-senses </term> of <term> words with multiple meanings
other,39-4-P82-1035,bq <term> elllpsis </term> ) , and resolve <term> referents </term> ( <term> anaphora </term> ) . This method
other,4-5-P82-1035,bq anaphora </term> ) . This method of using <term> expectations </term> to aid the understanding of <term>
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