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    » Extracting and Modelling Preferences from Dialogue
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    LWA
    2007
    160views Software Engineering» more  LWA 2007»
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    13 years 6 months ago
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    Download  users.informatik.uni-halle.de
    Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
    Tariq Mahmood, Francesco Ricci
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    ACL
    2010
    181views Computational Linguistics» more  ACL 2010»
    Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images
    13 years 3 months ago
    Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images
    Download  www.aclweb.org
    This paper describes an initial prototype demonstrator of a Companion, designed as a platform for novel approaches to the following: 1) The use of Information Extraction (IE) tech...
    Yorick Wilks, Roberta Catizone, Alexiei Dingli, We...
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    GRC
    2008
    IEEE
    143views Applied Computing» more  GRC 2008»
    Fuzzy Preference Relation Rough Sets
    13 years 6 months ago
    Fuzzy Preference Relation Rough Sets
    Download  www.turbo.hit.edu.cn
    Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
    Qinghua Hu, Daren Yu, Congxin Wu
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    EACL
    2006
    ACL Anthology
    156views Natural Language Processing» more  EACL 2006»
    Data-Driven Generation of Emphatic Facial Displays
    13 years 6 months ago
    Data-Driven Generation of Emphatic Facial Displays
    Download  acl.ldc.upenn.edu
    We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of...
    Mary Ellen Foster, Jon Oberlander
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    LREC
    2008
    139views Education» more  LREC 2008»
    Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
    13 years 6 months ago
    Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
    Download  www.lrec-conf.org
    The ultimate goal when building dialogue systems is to satisfy the needs of real users, but quality assurance for dialogue strategies is a non-trivial problem. The applied evaluat...
    Verena Rieser, Oliver Lemon
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