The main assumption of this paper is that the interpretation of information-seeking dialogues is mainly a domain driven process, where much of the knowledge necessary for their processing can be derived from the Domain Model represantation. Following this line, some discourse structure and the recovering from error situations, are all addressed building a semantic dialogue tree which mirrors the Domain Model structure. The algorithm we propose relies on three steps: (i) first a logical form is built for a single turn, whose clauses are grouped according to their functional role in the user request; (ii) then a dialogue chain for a single turn exploiting the semantic relations among the nodes is derived from the logical form; (iii) finally, the overall dialogue tree is searched for the positions where the chain can be best appended or merged.
Toward a Robust Processing of Information-Seeking Dialogues
Magnini, Bernardo
1999-01-01
Abstract
The main assumption of this paper is that the interpretation of information-seeking dialogues is mainly a domain driven process, where much of the knowledge necessary for their processing can be derived from the Domain Model represantation. Following this line, some discourse structure and the recovering from error situations, are all addressed building a semantic dialogue tree which mirrors the Domain Model structure. The algorithm we propose relies on three steps: (i) first a logical form is built for a single turn, whose clauses are grouped according to their functional role in the user request; (ii) then a dialogue chain for a single turn exploiting the semantic relations among the nodes is derived from the logical form; (iii) finally, the overall dialogue tree is searched for the positions where the chain can be best appended or merged.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
