Paper Info
Title
Information Retrieval in the Service of Generating Narrative Explanation - What we Want from Gallura.
Abstract
Information retrieval (IR) and, all the more so, knowledge discovery (KD), do not exist in isolation: it is necessary to consider the architectural context in which they are invoked in order to fulfil given kinds of tasks. This paper discusses a retrieval-intensive context of use, whose intended output is the generation of narrative explanations in a non-bona-fide, entertainment mode subject to heavy intertextuality and strictly constrained by culture-bound poetic conventions. The GALLURA project, now in the design phase, has a multiagent architecture whose modules thoroughly require IR in order to solve specialist subtasks. By their very nature, such subtasks are best subserved by efficient IR as well as mining capabilities within large textual corpora, or networks of signifiers and lexical concepts, as well as databases of narrative themes, motifs and tale types. The state of the art in AI, NLP, story-generation, computational humour, along with IR and KD, as well as the lessons of the DARSHAN project in a domain closely related to GALLURA's, make the latter's goals feasible in principle.
Year
Venue
Keywords
2011
KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL
Information extraction,Explanation generation,Story generation
Field
DocType
Citations 
Information retrieval,Computer science,Narrative
Conference
2
PageRank 
References 
Authors
0.41
0
2
Name
Order
Citations
PageRank
Ephraim Nissan116421.59
Yaakov HaCohen-Kerner218827.25