perm filename CHAP4[4,KMC]1 blob sn#006504 filedate 1972-11-03 generic text, type T, neo UTF8
00100	PROBLEMS OF NATURAL LANGUAGE UNDERSTANDING IN INTERVIEW DIALOGUES.
00150	
00200	
00300	     By `natural language` I shall mean everyday American English
00400	such as is used by readers of this book in ordinary conversations.
00500	It is still difficult to be explicit about the processes which
00600	enable hummans to interpret and respond to natural language.
00700	Philosophers, linguists and psychologists have speculated about
00800	and investigated natural language with various purposes and few
00900	useful results.  Now attempts are being made in artificial intelligence to write        
01000	algorithims which `understand' what is being expressed in natural
01100	language utterances.
01200	     During the 1960's when machine processing of natural language
01300	was dominated by syntactic considerations, it became clear that
01400	this approach was insufficient.  The current view is that to unDerstand
01500	this approach was insufficient.  The current view is that to understand
01600	what utterances say, knowlede about linguistic syntax and semantics
01700	must be combined with knowledge about an underlying conceptual
01800	structure containing a world-model and an ability to draw inferences.
01900	How to achieve this combination efficiently represents a huge task for
02000	both theory and implementation.
02100	     Since the behavior  being simulated by  our paranoid model is the
02200	linguistic-conceptual behavior of paranoid patients in a psychiatric
02300	interview, the model must have some abbility to process and respond to
02400	natural language input in a manner indicating the underlying pathological
02500	
02600	to develop a method for understanding everyday Englisg sufficient
02700	for the model to behave conversationally in a paranoid way in a
02800	circumscribed situation.  What is said in this situation is far
02900	icher than what is said in conversations with a block-stacking
02950	i2900
03000	robot but its requirements for constructing an interpretation
03100	of an input are not as complex as trying to understand anything
03200	said in English bby anybbody in any dialogue situation.
03300