Concordance

Query P80-1019 14 >
Multilevel Sort 14 (652.7 per million)

other,11-1-P80-1019,bq	Current <term> natural language interfaces </term> have concentrated largely on determining the literal <term> meaning </term> of <term> input </term> from their <term> users </term> .	#12538 Current natural language interfaces have concentrated largely on determining the literalmeaning of input from their users.
other,13-1-P80-1019,bq	Current <term> natural language interfaces </term> have concentrated largely on determining the literal <term> meaning </term> of <term> input </term> from their <term> users </term> .	#12540 Current natural language interfaces have concentrated largely on determining the literal meaning ofinput from their users.
other,16-1-P80-1019,bq	Current <term> natural language interfaces </term> have concentrated largely on determining the literal <term> meaning </term> of <term> input </term> from their <term> users </term> .	#12543 Current natural language interfaces have concentrated largely on determining the literal meaning of input from theirusers.
other,24-3-P80-1019,bq	This paper defends that view , but claims that direct imitation of human performance is not the best way to implement many of these <term> non-literal aspects of communication </term> ; that the new technology of powerful <term> personal computers </term> with integral <term> graphics displays </term> offers techniques superior to those of humans for these aspects , while still satisfying <term> human communication needs </term> .	#12607 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of thesenon-literal aspects of communication; that the new technology of powerful personal computers with integral graphics displays offers techniques superior to those of humans for these aspects, while still satisfying human communication needs.
other,27-2-P80-1019,bq	While such <term> decoding </term> is an essential underpinning , much recent work suggests that <term> natural language interfaces </term> will never appear cooperative or graceful unless they also incorporate numerous <term> non-literal aspects of communication </term> , such as robust <term> communication procedures </term> .	#12572 While such decoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerousnon-literal aspects of communication, such as robust communication procedures.
other,35-2-P80-1019,bq	While such <term> decoding </term> is an essential underpinning , much recent work suggests that <term> natural language interfaces </term> will never appear cooperative or graceful unless they also incorporate numerous <term> non-literal aspects of communication </term> , such as robust <term> communication procedures </term> .	#12580 While such decoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robustcommunication procedures.
other,55-3-P80-1019,bq	This paper defends that view , but claims that direct imitation of human performance is not the best way to implement many of these <term> non-literal aspects of communication </term> ; that the new technology of powerful <term> personal computers </term> with integral <term> graphics displays </term> offers techniques superior to those of humans for these aspects , while still satisfying <term> human communication needs </term> .	#12638 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of these non-literal aspects of communication; that the new technology of powerful personal computers with integral graphics displays offers techniques superior to those of humans for these aspects, while still satisfyinghuman communication needs.
tech,1-1-P80-1019,bq	Current <term> natural language interfaces </term> have concentrated largely on determining the literal <term> meaning </term> of <term> input </term> from their <term> users </term> .	#12528 Currentnatural language interfaces have concentrated largely on determining the literal meaning of input from their users.
tech,13-2-P80-1019,bq	While such <term> decoding </term> is an essential underpinning , much recent work suggests that <term> natural language interfaces </term> will never appear cooperative or graceful unless they also incorporate numerous <term> non-literal aspects of communication </term> , such as robust <term> communication procedures </term> .	#12558 While such decoding is an essential underpinning, much recent work suggests thatnatural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures.
tech,2-2-P80-1019,bq	While such <term> decoding </term> is an essential underpinning , much recent work suggests that <term> natural language interfaces </term> will never appear cooperative or graceful unless they also incorporate numerous <term> non-literal aspects of communication </term> , such as robust <term> communication procedures </term> .	#12547 While suchdecoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures.
tech,20-4-P80-1019,bq	The paper proposes <term> interfaces </term> based on a judicious mixture of these techniques and the still valuable methods of more traditional <term> natural language interfaces </term> .	#12662 The paper proposes interfaces based on a judicious mixture of these techniques and the still valuable methods of more traditionalnatural language interfaces.
tech,3-4-P80-1019,bq	The paper proposes <term> interfaces </term> based on a judicious mixture of these techniques and the still valuable methods of more traditional <term> natural language interfaces </term> .	#12645 The paper proposesinterfaces based on a judicious mixture of these techniques and the still valuable methods of more traditional natural language interfaces.
tech,35-3-P80-1019,bq	This paper defends that view , but claims that direct imitation of human performance is not the best way to implement many of these <term> non-literal aspects of communication </term> ; that the new technology of powerful <term> personal computers </term> with integral <term> graphics displays </term> offers techniques superior to those of humans for these aspects , while still satisfying <term> human communication needs </term> .	#12618 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of these non-literal aspects of communication; that the new technology of powerfulpersonal computers with integral graphics displays offers techniques superior to those of humans for these aspects, while still satisfying human communication needs.
tech,39-3-P80-1019,bq	This paper defends that view , but claims that direct imitation of human performance is not the best way to implement many of these <term> non-literal aspects of communication </term> ; that the new technology of powerful <term> personal computers </term> with integral <term> graphics displays </term> offers techniques superior to those of humans for these aspects , while still satisfying <term> human communication needs </term> .	#12622 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of these non-literal aspects of communication; that the new technology of powerful personal computers with integralgraphics displays offers techniques superior to those of humans for these aspects, while still satisfying human communication needs.


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