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Output details

11 - Computer Science and Informatics

University of Edinburgh

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Output 144 of 401 in the submission
Article title

Experiences with Planning for Natural Language Generation

Type
D - Journal article
Title of journal
Computational Intelligence
Article number
-
Volume number
27
Issue number
1
First page of article
23
ISSN of journal
0824-7935
Year of publication
2011
Number of additional authors
1
Additional information

<22> Originality: The first study to empirically analyse the performance of modern automated planners on two problems in natural language generation. This work identified situations where the standard planning preprocessing techniques used in modern planners failed, and proposed two benchmarks for testing new planning approaches.

Significance: This is a journal-length version of a paper that was awarded Best Paper at SPARK 2008, the top international workshop on applications of automated planning.

Rigour: Descriptions of the testing domains used to generate the paper's empirical results were made available to the planning community and proposed as challenge problems.

Interdisciplinary
-
Cross-referral requested
-
Research group
D - Institute for Language, Cognition & Computation
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-