Please use this identifier to cite or link to this item:
doi:10.22028/D291-23478
Title: | Using logistic regression to initialise reinforcement-learning-based dialogue systems |
Author(s): | Rieser, Verena Lemon, Oliver |
Language: | German |
Year of Publication: | 2006 |
OPUS Source: | IEEE/ACL Workshop on Spoken Language Technology : (SLT) ; December 10-13, 2006. - Palm Beach, Aruba, 2006 |
DDC notations: | 400 Language, linguistics |
Publikation type: | Conference Paper |
Abstract: | We investigate the use of logistic regression (LR) to initialise Reinforcement Learning (RL)-based dialogue systems with models of human dialogue strategies. LR produces accurate predictions and performs feature selection. We illustrate this technique in exploring human multimodal clarification strategies, observed in a Wizard-of-Oz experiment. We use it to initialise an RL-based system with features which significantly influence human behaviour. We show that the strategy applied by the human wizards is sensitive to different dialogue contexts. Furthermore we show that for predicting clarification behaviour the logistic models improve over the baseline on average twice as much as the supervised learning techniques used in previous work. |
Link to this record: | urn:nbn:de:bsz:291-scidok-9302 hdl:20.500.11880/23534 http://dx.doi.org/10.22028/D291-23478 |
Date of registration: | 4-Jan-2007 |
Faculty: | P - Philosophische Fakultät |
Department: | P - Sprachwissenschaft und Sprachtechnologie |
Former Department: | bis SS 2016: Fachrichtung 4.7 - Allgemeine Linguistik |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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rieser_lemon_acl06.pdf | 326,12 kB | Adobe PDF | View/Open |
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