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Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF

Title: Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF
Authors: Hoffmann, Joerg; Koller, Alexander
Contributors: Autonomous intelligent machine (MAIA); INRIA Lorraine; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA); Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS); Programming Systems Lab Saarland; Saarland University Saarbrücken
Source: 20th International Conference on Automated Planning and Scheduling (ICAPS'10); https://hal.inria.fr/inria-00491109; 20th International Conference on Automated Planning and Scheduling (ICAPS'10), Aug 2010, Toronto, Canada
Publisher Information: HAL CCSD
Publication Year: 2010
Collection: Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
Subject Terms: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Subject Geographic: Toronto
Time: Toronto, Canada
Description: International audience ; We present a planning domain that encodes the problem of generating natural language sentences. This domain has a number of features that provoke fairly unusual behavior in planners. In particular, hitherto no existing automated planner was sufficiently effective to be of practical value in this application. We analyze in detail the reasons for ineffectiveness in FF, resulting in a few minor implementation fixes in FF's preprocessor, and in a basic reconfiguration of its search options. The performance of the modified FF is up to several orders of magnitude better than that of the original FF, and for the first time makes automated planners a practical possibility for this application. Beside thus highlighting the importance of preprocessing and automated configuration techniques, we show that the domain still poses several interesting challenges to the development of search heuristics.
Document Type: conference object
Language: English
Relation: inria-00491109; https://hal.inria.fr/inria-00491109; https://hal.inria.fr/inria-00491109/document; https://hal.inria.fr/inria-00491109/file/icaps10.pdf
Availability: https://hal.inria.fr/inria-00491109; https://hal.inria.fr/inria-00491109/document; https://hal.inria.fr/inria-00491109/file/icaps10.pdf
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.D78BFC6A
Database: BASE