EMMA@SU-CSLI.ARPA (06/26/84)
From: Emma Pease <EMMA@SU-CSLI.ARPA>
[Forwarded from the CSLI Newsletter by Laws@SRI-AI.]
The following will take place on Friday, June 29 in the Ventura
Conference room from 2:00 to 4:00 (followed by tea).
THE DIALOG SYSTEM HAM-ANS: NATURAL LANGUAGE ACCESS TO DIVERSE APPLICATION
SYSTEMS (H. Marburger, K. Morik, B. Nebel) -- St
This talk will introduce the overall goals of the NL-System HAM-ANS (HAMburg
Application-oriented Natural language System) which is currently being
developed at the University of Hamburg. HAM-ANS encompasses three different
application classes: natural language access to a vision system (traffic at
a street crossing), to a relational database system (fishery data), and for
guiding a competitive dialog with a client (hotel reservation situation).
The system accepts typed input in colloquial German and produces typed German
responses. The system's general architecture and knowledge sources will be
introduced.
USER MODELING, EVALUATION STANDARDS, AND DIALOGUE STRUCTURE -- THE HAM-ANS
APPROACH
(Katharina Morik) --
AI dialogue systems are now developing from question-answering systems toward
advising systems. This includes:
* structuring dialog
* understanding and generating a wider range of speech acts than
simply information request and answer
* modeling the user's familiarity with the system, his/her state
of knowledge about the domain, and his/her evaluation
standards (goals)
In this talk, first the field of user modeling is structured according to the
different aspects of the user (familiarity, knowledge, evaluation).
We may then, secondly, describe our ongoing work in this field and relate it
to other approaches. User modeling in HAM-ANS is closely connected to dialog
structure and dialog strategy. In advising the user, the system generates the
verbalizes speech acts. The choice of the speech act is guided by the user
profile and the dialog strategy of the system.