ITRI-96-04 Learning Micro-Planning Rules for Preventative Expressions
نویسندگان
چکیده
Building text planning resources by hand is time-consuming and difficult. Certainly, a number of planning architectures and their accompanying plan libraries have been implemented, but while the architectures themselves may be reused in a new domain, the library of plans typically cannot. One way to address this problem is to use machine learning techniques to automate the derivation of planning resources for new domains. In this paper, we apply this technique to build micro-planning rules for preventative expressions in instructional text. Also published in Proc. International Workshop on Natural Language Generation, Herstmonceux, England, June 1996. Pp 11–20. This work is supported by EPSRC grant J19221, BC/DAAD ARC Project 293 and EU grant LRE-62009 * Carnegie Mellon University, Pittsburgh, USA. email: [email protected] Information Technology Research Institute Technical Report Series ITRI, Univ. of Brighton, Lewes Road, Brighton BN2 4AT, UK TEL: +44 1273 642900 EMAIL: [email protected] FAX: +44 1273 642908 NET: http://www.itri.brighton.ac.uk
منابع مشابه
Learning Micro-Planning Rules for Preventative Expressions
Building text planning resources by hand is timeconsuming and difficult. Certainly, a number of planning architectures and their accompanying plan libraries have been implemented, but while the architectures themselves may be reused in a new domain, the library of plans typically cannot. One way to address this problem is to use machine learning techniques to automate the derivation of planning...
متن کاملLearning Micro-Planning Rules for Preventive Expressions
Building text planning resources by hand is timeconsuming and difficult. Certainly, a number of planning architectures and their accompanying plan libraries have been implemented, but while the architectures themselves may be reused in a new domain, the library of plans typically cannot. One way to address this problem is to use machine learning techniques to automate the derivation of planning...
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We present a study of the mappings from semantic content to a range of syntactic expressions with the aim of isolating the precise locus and role of pragmatic information in the text generation process. From a corpus of English, French, and Portuguese instructions for consumer products, we demonstrate the range of expressions of two semantic relations, Generation and Enablement [Goldman1970] in...
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