%0 Journal Article %1 x.03_05umuai %A Carberry, Sandra %A Zukerman, Ingrid %D 2005 %J User Modeling and User-Adapted Interaction %K v1205 springer paper ai user interaction adaptive interface language processing %N 1-2 %P 1-3 %R 10.1007/s11257-004-7817-9 %T Special Issue on Language-Based Interaction %U http://link.springer.com/journal/11257/15/1/ %V 15 %X Natural Language (NL) has been linked with User Modeling since the inception of the User Modeling field. These applications were primarily motivated by the insight that understanding people’s utterances involves building and consulting a model of the interlocutor, and generating felicitous discourse requires taking into account a model of the addressee. Thus, the applications of the time focused on three main language-related aspects of user modeling: (1) building user models from NL utterances, (2) consulting user models to interpret users' utterances, and (3) consulting user models to generate discourse that takes into account some aspect of the addressee. These applications were typically knowledge intensive – they relied on plan libraries and applied rule-based reasoning to infer user models or generate discourse. Since then, the applications in the field of User Modeling have expanded significantly. User Modeling now includes new applications, such as recommender systems, e-commerce, mobile and ubiquitous systems, personalized TV, and group modeling. This expansion has coincided with a methodological shift in the Artificial Intelligence community towards techniques which have a strong probabilistic or empirical basis, such as Bayesian networks and machine learning techniques. This shift in turn has been accompanied by a requirement for a rigorous evaluation of developed systems.

@article{x.03_05umuai, abstract = {Natural Language (NL) has been linked with User Modeling since the inception of the User Modeling field. These applications were primarily motivated by the insight that understanding people’s utterances involves building and consulting a model of the interlocutor, and generating felicitous discourse requires taking into account a model of the addressee. Thus, the applications of the time focused on three main language-related aspects of user modeling: (1) building user models from NL utterances, (2) consulting user models to interpret users' utterances, and (3) consulting user models to generate discourse that takes into account some aspect of the addressee. These applications were typically knowledge intensive – they relied on plan libraries and applied rule-based reasoning to infer user models or generate discourse. Since then, the applications in the field of User Modeling have expanded significantly. User Modeling now includes new applications, such as recommender systems, e-commerce, mobile and ubiquitous systems, personalized TV, and group modeling. This expansion has coincided with a methodological shift in the Artificial Intelligence community towards techniques which have a strong probabilistic or empirical basis, such as Bayesian networks and machine learning techniques. This shift in turn has been accompanied by a requirement for a rigorous evaluation of developed systems.}, added-at = {2012-06-02T14:14:59.000+0200}, author = {Carberry, Sandra and Zukerman, Ingrid}, biburl = {https://www.bibsonomy.org/bibtex/20ac8fe4cd1c7fbbc095281815120293a/flint63}, doi = {10.1007/s11257-004-7817-9}, groups = {public}, interhash = {e67b7417531285bac25d74afb4bdb0c6}, intrahash = {0ac8fe4cd1c7fbbc095281815120293a}, issn = {0924-1868}, journal = {User Modeling and User-Adapted Interaction}, keywords = {v1205 springer paper ai user interaction adaptive interface language processing}, month = {#mar#}, number = {1-2}, pages = {1-3}, timestamp = {2013-03-21T17:31:36.000+0100}, title = {Special Issue on Language-Based Interaction}, url = {http://link.springer.com/journal/11257/15/1/}, username = {flint63}, volume = 15, year = 2005 }