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
User modeling in UC, the UNIX consultant
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Transition network grammars for natural language analysis
Readings in natural language processing
Recognizing and responding to plan-oriented misconceptions
Computational Linguistics - Special issue on user modeling
Reasoning on a highlighted user model to respond to misconceptions
Computational Linguistics - Special issue on user modeling
The use of explicit user models in text generation: tailoring to a user's level of expertise
The use of explicit user models in text generation: tailoring to a user's level of expertise
Planning English Sentences
Correcting misconceptions: What to say when the user is mistaken
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Explanatory power for medical expert systems: studies in the representation of causal relationships for clinical consultations
Unifying representation and generalization: understanding hierarchically structured objects
Unifying representation and generalization: understanding hierarchically structured objects
The ROMPER system: responding to object-related misconceptions using perspective
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Functional unification grammar revisited
ACL '87 Proceedings of the 25th 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
A general user modelling facility
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling the user in natural language systems
Computational Linguistics - Special issue on user modeling
Recognizing and responding to plan-oriented misconceptions
Computational Linguistics - Special issue on user modeling
Expressing rhetorical relations in instructional text: a case study of the purpose relation
Computational Linguistics
An architecture for voice dialog systems based on prolog-style theorem proving
Computational Linguistics
Automated drafting of self-explaining documents
Proceedings of the 6th international conference on Artificial intelligence and law
Generating mixed-initiative hypertexts: a reactive approach
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
A Model for Adapting Explanations to the User‘s Likely Inferences
User Modeling and User-Adapted Interaction
Tailoring the Interaction with Users in Web Stores
User Modeling and User-Adapted Interaction
Explanation and Argumentation Capabilities: Towards the Creation of More Persuasive Agents
Artificial Intelligence Review
User interfaces and help systems: from helplessness to intelligent assistance
Artificial Intelligence Review
Parrot-Talk Requires Multiple Context Dimensions
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
Developing and empirically evaluating robust explanation generators: the KNIGHT experiments
Computational Linguistics
Collaborative response generation in planning dialogues
Computational Linguistics - Special issue on natural language generation
A collaborative planning model of intentional structure
Computational Linguistics
A dialog control algorithm and its performance
ANLC '92 Proceedings of the third conference on Applied natural language processing
CogentHelp: NLG meets SE in a tool for authoring dynamically generated on-line help
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Using plausible inference rules in description planning
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Exploiting conversational implicature for generating concise explanations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Planning reference choices for argumentative texts
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
Planning text for advisory dialogues
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
A new strategy for providing definitions in task-oriented dialogues
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
User Modeling in Spoken Dialogue Systems to Generate Flexible Guidance
User Modeling and User-Adapted Interaction
Modeling Beliefs and Solution Strategies in a Distributed Learning System
The Journal of Supercomputing
Flexible guidance generation using user model in spoken dialogue systems
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Middleware support for transparency and user control in context-aware systems
Proceedings of the 3rd international Middleware doctoral symposium
User expertise modelling and adaptivity in a speech-based e-mail system
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
MyMap: Generating personalized tourist descriptions
Applied Intelligence
Capturing the Evolution of Grammatical Knowledge in a CALL System for Deaf Learners of English
International Journal of Artificial Intelligence in Education
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
International Journal of Artificial Intelligence in Education
Generating basic skills reports for low-skilled readers*
Natural Language Engineering
Games for games: manipulating contexts in human computation games
Proceedings of the ACM SIGKDD Workshop on Human Computation
Proof verbalization as an application of NLG
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A reactive approach to explanation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Phrasing a text in terms the user can understand
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Vive la difference! individualised interaction with users
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Combining discourse strategies to generate descriptions to users along a naive/expert spectrum
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Discourse planning as an optimization process
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Planning reference choices for argumentative texts
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
The role of cognitive modeling in achieving communicative intentions
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Appropriate microplanning choices for low-skilled readers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Generating interactive explanations
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
An optimizing method for structuring inferentially linked discourse
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Focused and aggregated search: a perspective from natural language generation
Information Retrieval
User Modeling and User-Adapted Interaction
Scaling up explanation generation: large-scale knowledge bases and empirical studies
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Bus information system based on user models and dynamic generation of VoiceXML scripts
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Generating tailored textual summaries from ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A policy-based approach to context dependent natural language generation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Discourse structure and language technology
Natural Language Engineering
Aggregated search: A new information retrieval paradigm
ACM Computing Surveys (CSUR)
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A question answering program providing access to a large amount of data will be most useful if it can tailor its answers to each individual user. In particular, a user's level of knowledge about the domain of discourse is an important factor in this tailoring if the answer provided is to be both informative and understandable to the user. In this research, we address the issue of how the user's domain knowledge can affect an answer. By studying texts, we found that the user's level of domain knowledge affected the kind of information provided and not just the amount of information, as was previously assumed. Depending on the user's assumed domain knowledge, a description can be either parts-oriented or process-oriented. Thus the user's level of expertise in a domain can guide a system in choosing the appropriate facts from the knowledge base to include in an answer. We propose two distinct descriptive strategies that can be used in a question answering program, and show how they can be mixed to include the appropriate information from the knowledge base, given the user's domain knowledge. We have implemented these strategies in TAILOR, a computer system that generates descriptions of devices. TAILOR uses one of the two discourse strategies identified in texts to construct a description for either a novice or an expert. It can merge the strategies automatically to produce a wide range of different descriptions to users who fall between the extremes of novice or expert, without requiring an a priori set of user stereotypes.