Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Attention, intentions, and the structure of discourse
Computational Linguistics
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
Natural language generation from plans
Computational Linguistics
Unresolved issues in paragraph planning
Current research in natural language generation
Generating explanatory discourse
Current research in natural language generation
Natural language generation in COMET
Current research in natural language generation
Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Spoken natural language dialog systems: a practical approach
Spoken natural language dialog systems: a practical approach
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Planning English Sentences
On the relationship between user models and discourse models
Computational Linguistics - Special issue on user modeling
A pragmatics-based approach to ellipsis resolution
Computational Linguistics
A metaplan model for problem-solving discourse
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
Tracking initiative in collaborative dialogue interactions
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
Discourse structures for text generation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Description strategies for naive and expert users
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Discourse pragmatics and ellipsis resolution in task-oriented natural language interfaces
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Two types of planning in language generation
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Integrated approach to detect inconspicuous contents
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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People engage in task-oriented dialogues to carry out or plan a task. Each participant in such an interaction must be capable of processing plans in two ways. First, each participant must be capable of understanding the plans that the other participant is using. Researchers have developed theories and models about how computational systems should go about recognizing the plans and goals of another participant, both at the subject-matter level and at the level of the communication. This area of research is called plan recognition. Secondly, each participant must be able to make their owns plans to communicate. This area of natural language research is called text planning.Interactive systems -- systems that understand natural language and that can produce natural language to engage in a task-related interaction -- must address the issue of how understanding plans (the process of plan recognition) relates to making plans for the interaction (the process of text planning). We provide an introduction to these two research areas in natural language processing. Those who need to be familiar with both areas -- to conduct research at their intersection -- will find this introduction useful for building systems that both understand what people are trying to do when they speak and that can actively participate in the interaction.