tech,1-1-P80-1019,ak </term> are also discussed . Current <term> natural language interfaces </term> have concentrated largely on determining
other,10-1-P80-1019,ak concentrated largely on determining the <term> literal meaning </term> of input from their users . While
tech,2-2-P80-1019,ak input from their users . While such <term> decoding </term> is an essential underpinning , much
tech,13-2-P80-1019,ak underpinning , much recent work suggests that <term> natural language interfaces </term> will never appear cooperative or
tech,34-2-P80-1019,ak aspects of communication </term> , such as <term> robust communication procedures </term> . This paper defends that view ,
other,12-3-P80-1019,ak but claims that direct imitation of <term> human performance </term> is not the best way to implement
other,55-3-P80-1019,ak these aspects , while still satisfying <term> human communication needs </term> . The paper proposes <term> interfaces
tech,3-4-P80-1019,ak communication needs </term> . The paper proposes <term> interfaces </term> based on a judicious mixture of these
tech,20-4-P80-1019,ak valuable methods of more traditional <term> natural language interfaces </term> . When people use <term> natural language
hide detail