Extended person-machine interface
Artificial Intelligence
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
Discourse strategies for generating natural-language text
Artificial Intelligence
Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Analyzing the structure of argumentative discourse
Computational Linguistics
Reasoning on a highlighted user model to respond to misconceptions
Computational Linguistics - Special issue on user modeling
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Informational redundancy and resource bounds in dialogue
Informational redundancy and resource bounds in dialogue
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Limited attention and discourse structure
Computational Linguistics
Toward a synthesis of two accounts of discourse structure
Computational Linguistics
The effect of resource limits and task complexity on collaborative planning in dialogue
Artificial Intelligence - Special volume on empirical methods
COLLAGEN: when agents collaborate with people
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Natural Language Generation in Artificial Intelligence and Computational Linguistics
Natural Language Generation in Artificial Intelligence and Computational Linguistics
A Framework for Requirements Elicitation through Mixed-Initiative Dialogue
ICRE '98 Proceedings of the 3rd International Conference on Requirements Engineering: Putting Requirements Engineering to Practice
Choosing a Set of Coherence Relations for Text Generation: A Data-Driven Approach
EWNLG '93 Selected papers from the Fourth European Workshop on Trends in Natural Language Generation, An Artificial Intelligence Perspective
Towards a Computational Theory of Definite Anaphora Comprehension in English Discourse
Towards a Computational Theory of Definite Anaphora Comprehension in English Discourse
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
Describing complex charts in natural language: a caption generation system
Computational Linguistics - Special issue on natural language generation
A computational theory of the function of clue words in argument understanding
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A centering approach to pronouns
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Anaphora resolution: short-term memory and focusing
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Investigating cue selection and placement in tutorial discourse
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Planning coherent multisentential text
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Content ordering in the generation of persuasive discourse
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Using focus rules in requirements elicitation dialogues
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Context modeling for IQA: the role of tasks and entities
KRAQ '08 Coling 2008: Proceedings of the workshop on Knowledge and Reasoning for Answering Questions
Interactive ontology-based user knowledge acquisition: a case study
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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In recent years, the capabilities of knowledge-based systems to communicate with their users have evolved from simple interactions to complex dialogues. With this evolution comes a need to understand what makes a good dialogue. In this paper, we are concerned with dialogue coherence. We review the notion of focus, which partly explains this property, and its use for user-system communication. First, we examine the major theories dealing with this notion. We describe what their contribution is and how they differ. Then, we illustrate the benefits of using the notion of focus and especially the improvement in text coherence. We pay particular attention to how the notion can concretely be implemented. Its integration with other techniques and theories is described. We conclude the paper by pointing out remaining issues in the understanding of the notion of focus. The contribution of this paper is to provide a classification of the theories of focus and to show the improvements they offer in elaborate user-system dialogues.