This paper is concerned with information-seeking dialogues in a restricted domain (we consider a consultation system for a Computer Science Department, delivering information about the various tasks that the users may want to perform: for example, how to access the library, get information about the courses of the Department, etc) and presents a framework where a plan recognition and a user modeling component are integrated to cooperate in the task of identifying the user's plans and goals. The focus of the paper is centered on the techniques used for building the user model and exploiting it in the determination of the user's intentions. For this task, we use stereotypes and we propose some inference rules for expanding the user model by inferring the user's beliefs from both the sentences s/he utters and the information stored in the plan library of the system, that describes the actions in the domain. Moreover, we introduce some disambiguation rules that are applied to the information in the user model for restricting the set of ambiguous hypotheses on the user's plans and goals to the most plausible ones. This also simplifies a further clarification dialogue if it is necessary for a precise identification of the user's intentions.
|
814
|
Attention, intentions, and the structure of discourse
– Grosz, Sidner
- 1986
|
|
692
|
Intention is choice with commitment
– Cohen, Levesque
- 1990
|
|
260
|
Analyzing intention in utterances
– Allen, Perrault
- 1980
|
|
235
|
A Bayesian model of plan recognition
– Charniak, Goldman
- 1993
|
|
199
|
Plans as complex mental attitudes
– Pollack
- 1990
|
|
173
|
User modeling via stereotypes
– Rich
- 1979
|
|
156
|
Generalized plan recognition
– Kautz, Allen
- 1986
|
|
142
|
Plan Recognition in Natural Language Dialogue
– Carberry
- 1990
|
|
135
|
A circumscriptive theory of plan recognition
– Kautz
- 1990
|
|
127
|
Recognising intentions from natural language utterances
– Allen
- 1983
|
|
107
|
A tripartite plan-based model of dialogue
– Lambert, Carberry
- 1991
|
|
103
|
Tailoring object descriptions to a user's level of expertise
– Paris
- 1988
|
|
96
|
User Models in Dialog Systems
– Kobsa, Wahlster
- 1989
|
|
94
|
Cooperative Responses from a Portable Natural Language Query System
– Kaplan
- 1982
|
|
80
|
Incorporating default inferences into plan recognition
– Carberry
- 1990
|
|
66
|
Modeling the user's plans and goals
– Carberry
- 1988
|
|
43
|
On the role of coherence in abductive explanation
– Ng, Mooney
- 1990
|
|
40
|
KNOME: Modeling What the User Knows
– Chin
- 1989
|
|
40
|
Modeling the user in natural language systems
– Kass, Finin
- 1988
|
|
37
|
A Prolog-like inference system for computing minimum-cost abductive explanations in natural-language interpretation
– Stickel
- 1988
|
|
34
|
A shell for developing non-monotonic user modeling systems
– Brajnik, Tasso
- 1994
|
|
33
|
Utilizing user models to handle ambiguity and misconceptions in robust plan recognition, User Modeling and User-Adapted
– Calistri-Yeh
- 1991
|
|
30
|
A meta-rule approach to flexible plan recognition in dialogue, User Modeling and User-Adapted
– Eller, Carberry
- 1992
|
|
30
|
From plan critiquing to clarification dialogue for cooperative response generation
– Beek, Cohen, et al.
- 1993
|
|
28
|
Modeling the User's Conceptual Knowledge in BGP-MS, a User Modeling Shell System
– Kobsa
- 1990
|
|
26
|
Building a user model implicitly from a cooperative advisory dialog. User Modeling and User-Adapted Interaction
– Kass
- 1991
|
|
26
|
Generation and selection of likely interpretations during plan recognition. User Modeling and User Adapted Interaction
– Raskutti, Zukerman
- 1991
|
|
26
|
Resolving plan ambiguity for cooperative response generation
– Beek, Cohen
- 1991
|
|
21
|
User Models and Conversational Settings: Modeling the User's Wants
– Morik
- 1989
|
|
19
|
Ascribing plans to agents: Preliminary report
– Konolige, Pollack
- 1989
|
|
17
|
Reasoning about knowledge and belief: a survey
– McArthur
- 1988
|
|
15
|
Generalizing the double-stereotype approach: A psychological perspective
– Jameson
- 1992
|
|
14
|
A flexible approach to cooperative response generation in information-seeking dialogues
– Ardissono, Lombardo, et al.
- 1993
|
|
9
|
Rules for the Implicit Acquisition of Knowledge About the User
– Kass, Finin
- 1987
|
|
6
|
Representation of determiners in natural language
– Ardissono, Lesmo, et al.
- 1991
|
|
6
|
Representation and interpretation of determiners in natural language
– Eugenio
- 1987
|
|
6
|
User models and discourse models: United they stand
– Kobsa
- 1988
|
|
6
|
Query and response generation during informationseeking interactions
– Raskutti, Zukerman
- 1994
|
|
5
|
On the relationship between user models and discourse models
– Cohen
- 1988
|
|
5
|
Distinguishing User Models from Discourse Models
– Wahlster
- 1988
|
|
3
|
Production of cooperative answers on the basis of partial knowledge in information-seeking dialogues
– Ardissono, Lesmo, et al.
- 1993
|
|
3
|
User Models and Discourse Models
– Chin
- 1988
|
|
3
|
Interpretation of noun-phrases in intensional contexts
– Lesmo
- 1988
|
|
1
|
How do experts categorize the interlocutor during consultation dialogues
– Cahour
- 1992
|
