Attention, intentions, and the structure of discourse
Computational Linguistics
Tailoring object descriptions to a user's level of expertise
Computational Linguistics - Special issue on user modeling
Natural language generation from plans
Computational Linguistics
A flexible interface for linking applications to Penman's sentence generator
HLT '89 Proceedings of the workshop on Speech and Natural Language
Getting the message across in RST-based text generation
Current research in natural language generation
Natural language generation in COMET
Current research in natural language generation
Actions, beliefs and intentions in multi-action utterances
Actions, beliefs and intentions in multi-action utterances
A problem for RST: the need for multi-level discourse analysis
Computational Linguistics
Speaking of actions: choosing rhetorical status and grammatical form in instructional text generation
Understanding natural language instructions: a computational approach to purpose clauses
Understanding natural language instructions: a computational approach to purpose clauses
User Modeling in Text Generation
User Modeling in Text Generation
Expressibility and the Problem of Efficient Text Planning
Expressibility and the Problem of Efficient Text Planning
Systemic Text Generation as Problem Solving
Systemic Text Generation as Problem Solving
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
Machine Learning
Customizing RST for the Automatic Production of Technical Manuals
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
Constraints on the generation of adjunct clauses
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Generating precondition expressions in instructional text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Understanding natural language instructions: the case of purpose clauses
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Planning coherent multisentential text
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Language As a Cognitive Process: Syntax
Language As a Cognitive Process: Syntax
Cooperative plan identification: constructing concise and effective plan descriptions
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Learning features that predict cue usage
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
DiMLex: a lexicon of discourse markers for text generation and understanding
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automated scoring using a hybrid feature identification technique
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Evaluating the portability of revision rules for incremental summary generation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A corpus study of negative imperatives in natural language instructions
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Building knowledge bases for the generation of software documentation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
From elementary discourse units to complex ones
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Generating and evaluating evaluative arguments
Artificial Intelligence
Generating and evaluating evaluative arguments
Artificial Intelligence
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
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Natural language provides an extensive set of lexical and grammatical forms for expressing concepts, a set from which writers choose the particular form that they feel will produce the most effective expression given the communicative context. An important task of the text generation researcher is to specify both the range of these forms and the contexts in which they are used. This paper addresses this issue in the context of the expression of procedural relations between actions in instructional text. It employs the following four-step approach to achieve this goal: (1) collect a corpus of the relevant text type; (2) perform a detailed linguistic study of a portion of this corpus, called the training set, and reserve the remainder as a testing set; (3) implement the results of this study in a text generation system; and (4) compare the output of the system with the text found in the entire corpus. This has resulted in the construction of IMAGENE, an instructional text generation system that embodies a model of the forms of expression consistently used by instructional text writers over a broad range of instruction types. The details of IMAGENE's treatment of purpose expressions are given as representative of the coverage and form of the full system.