Natural language processing and user modeling: Synergies and limitations

User Modeling and User-Adapted Interaction

Volumn 11, Issue 1-2, 2001, Pages 129-158

  Zukerman, Ingrid ^a   Litman, Diane ^b  

^a MONASH UNIVERSITY   (Australia)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

Dialogue systems; Natural language generation; Natural language understanding; Plan recognition; Surface features

Indexed keywords

NATURAL LANGUAGE UNDERSTANDING; PLAN RECOGNITION;

COMPUTER SIMULATION; HUMAN COMPUTER INTERACTION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 0035030120     PISSN: 09241868     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011174108613     Document Type: Article

References (109)

1. Insights into the dialogue processing of VERBMOBIL
2. Learning a user's linguistic style: Using an adaptive parser to automatically customize a unification-based natural language grammar
3. Analyzing intention in utterances
4. A robust system for natural spoken dialogue
5. Modelling agents with logic
6. Methods for modeling and assisting causal understanding in physical systems
7. Phrasing a text in terms a user can understand
8. Interpreting symptoms of cognitive load in speech input
9. Generating personalized patient information using the medical record
10. Modeling issues in multimedia car-driver interaction
11. A pragmatics-based approach to understanding intersentential ellipsis
12. Modeling the user's plans and goals
13. Incorporating default inferences into plan recognition
14. Techniques for plan recognition
15. A process model for recognizing communicative acts and modeling negotiation subdialogues
16. Generating patient specific interactive natural language explanations
17. Tailoring evaluative arguments to a user's preferences
18. Generating explanatory discourse
19. User modeling in interactive explanations
20. Mixed-initiative issues in an agent-based meeting scheduler
21. A bayesian model of plan recognition
22. KNOME: Modeling what the user knows
23. Empirical evaluation of user models
24. Multi-dimensional user models for multi-media I/O in the maintenance consultant
25. MIMIC: An adaptive mixed initiative spoken dialogue system for information queries
26. An evidential model for tracking initiative in collaborative dialogue interactions
27. Generating information-sharing subdialogues in expert-user consultation
28. Evaluating automatic dialogue strategy adaptation for a spoken dialogue system
29. What is initiative?
30. Refining instructional text generation after evaluation
31. Modelling mutual effects in belief-based interactive systems
32. Recognizing and utilizing user preferences in collaborative consultation dialogues
33. Learning the user's language: A step towards automated creation of user models
34. Learning bayesian networks from data
35. A computational mechanism for initiative in answer generation
36. An analysis of initiative selection in collaborative task-oriented discourse
37. An approach to mixed initiative spoken information retrieval dialogue
38. Authoring and generating health-education documents that are tailored to the needs of the individual patient
39. A model for adapting explanations to the user's likely inferences
40. A computational architecture for conversation
41. A multi-modal logic for stereotyping
42. Exploring mixed-initiative dialogue using computer dialogue simulation
43. But what will the listener think? Belief ascription and image maintenance in dialog
44. Numerical uncertainty management in user and student modeling: An overview of systems and issues
45. Adaptive provision of evaluation-oriented information: Tasks and techniques
46. Towards the generation of rebuttals in a bayesian argumentation system
47. Living up to expectations: Computing expert responses
48. A cognitive load application in tutoring
49. Collaboration and student modeling in instructional explanation
50. Building a user model implicitly from a cooperative advisory dialog
51. Modeling the user in natural language systems
52. Learner control
53. A tripartite plan-based model of dialogue
54. Abducing temporal discourse
55. Lifelike pedagogical agents for mixed-initiative problem solving in constructivist learning environments
56. Understanding plan ellipsis
57. A plan recognition model for subdialogues in conversation
58. Empirically evaluating an adaptable spoken dialogue system
59. Predicting and adapting to poor speech recognition in a spoken dialogue system
60. Automatic detection of poor speech recognition at the dialogue level
61. The use of knowledge preconditions in language processing
62. The conceptual and linguistic facets of persuasive arguments
63. Highlighting a user model to respond to misconceptions
64. English error correction: A syntactic user model based on principled "Mal-rule" scoring
65. Forward inferences in text generation
66. Augmenting the user's knowledge via comparison
67. Exploiting user feedback to compensate for the unreliability of user models
68. User models and conversational settings: Modeling the user's wants
69. The sounds of silence: Towards automated evaluation of student learning in a reading tutor that listens
70. The use of explicit user models in a generation system for tailoring answers to the user's level of expertise
71. A plan-based analysis of indirect speech acts
72. User-model-driven generation of instructions
73. Plans as complex mental attitudes
74. Detecting and responding to plan-oriented misconceptions
75. Forming user models by understanding user feedback
76. Generation and selection of likely interpretations during plan recognition
77. COLLAGEN: A collaboration manager for software interface agents
78. Generating tailored definitions using a multifaceted user model
79. Grammars as user models
80. Interactive user modeling: An integrative explicit-implicit approach
81. Mis-generalization: An explanation of observed Mal-rules
82. An evaluation of strategies for selectively verifying utterance meanings in spoken natural language dialog
83. User-tailored planning of mixed initiative information-seeking dialogues
84. ALFRESCO: Enjoying the combination of natural language processing and hypermedia for information exploration
85. Generating help for users of application software
86. Requirements for belief models in cooperative dialogue
87. A model for generating better explanations
88. Resolving plan ambiguity for cooperative response generation
89. Customized explanations using causal knowledge
90. Machine learning for user modeling
91. Cues and control in expert-client dialogues
92. Active acquisition of user models: Implications for decision-theoretic dialog planning and plan recognition
93. Predictive statistical models for user modeling
94. Recognizing intentions from rejoinders in a bayesian interactive argumentation system
95. Consulting a user model to address a user's inferences during content planning
96. Generating discourse across several user models: Maximizing belief while avoiding boredom and overload
97. WISHFUL: A discourse planning system that considers a user's inferences
98. Consulting a user model while generating arguments
99. Bayesian reasoning in an abductive mechanism for argument generation and analysis